Position summary The Solutions Development Manager leads the design, development, and delivery of innovative software solutions that enhance legal practices and enterprise support functions. This role partners with stakeholders to translate complex requirements into technology solutions, overseeing assigned global platforms, system integrations, and software development projects while managing resources, monitoring project costs, and ensuring compliance with security, regulatory, and internal policies. The Manager leads a team of Analysts and Developers and drives the adoption of emerging technologies to support operational efficiency and transformative business outcomes. Job duties and responsibilities Lead the design, development, and implementation of tailored technology solutions for practice groups, attorneys, and clients, ensuring alignment with the firm's strategic objectives and enterprise technology roadmap. Partner with senior stakeholders to define requirements, evaluate technical solution options, recommend innovative solutions, and lead the implementation of assigned complex projects and system integrations. Lead and manage software development projects, including defining scope, allocating resources, managing deliverables, and coordinating vendor support to ensure successful outcomes. Develop project cost estimates and track project expenditures. Identify and assess risks associated with assigned technology solutions and projects, implement appropriate mitigation measures within established authority, and escalate significant risks to leadership. Ensure compliance with regulatory requirements, data privacy standards, and cybersecurity protocols. Monitor key performance indicators (KPIs) and success metrics for assigned technology solutions and development teams, using performance data to identify opportunities for continuous improvement. Communicate project status, risks, and recommendations to stakeholders and leadership, ensuring timely escalation of significant issues and supporting informed decision-making. Oversee the production and maintenance of assigned projects and platforms, including implementation strategies, project plans, cost analyses, and compliance records, adhering to firm standards, regulatory requirements, and cybersecurity best practices. Manage assigned global platforms such as intranet, extranet, room scheduling, and business intelligence (BI) systems, ensuring reliability, scalability, and continuous improvement. Champion the adoption and integration of emerging technologies, including cloud computing, automation, and artificial intelligence, to drive operational efficiency and innovation. Lead, mentor, and develop a team of Analysts and Developers, including hiring, performance management, and coaching to support team effectiveness and professional development. Establish, refine, and enforce software development policies, methodologies, best practices, and security standards, under the directorion of the Assistant Director, ensuring firm requirements, alignment with industry advancements and compliance obligations. Represent Solutions Development on firmwide committees, governance boards, or cross-functional project teams, providing technical expertise and contributing to enterprise technology initiatives. Perform other duties as assigned. Job duties and responsibilities included are not exhaustive and may be supplemented asnecessary. Reed Smith reserves the right to revise or modify job duties and responsibilities at any time. Requirements Education: Bachelor's Degree in an IT-related discipline is required. A Master's Degree and other relevant training, education, and certifications are preferred. Experience: Minimum of 7 years of software development experience, including expertise with React, MS SQL, and enterprise system integrations. Minimum of 3 years of experience leading or managing technical teams. Experience leading complex software development projects using Agile and DevOps methodologies. Expertise with BI platforms (Power BI, Tableau) and enterprise data visualization, analytics, and dashboard strategy. Deep knowledge of SharePoint-based intranet/extranet development and large-scale platform customization. Experience implementing emerging technologies, including cloud, AI, and automation, to support enterprise technology initiatives. Experience coordinating vendor relationships, including overseeing technical deliverables and evaluating third-party performance. Experience in a law firm or professional services environment strongly preferred. Skills: Demonstrated management and supervisory capability, leading, mentoring, and developing global technical teams. Strong knowledge of software development methodologies, system architecture, integrations, and enterprise platforms supporting the firm's technology environment. Strong project management capability, defining scope, allocating resources, managing deliverables, and overseeing multiple concurrent initiatives. Strong written and oral communication skills, presenting complex technical information clearly to senior leadership and diverse stakeholders. High degree of professionalism, discretion, and sound judgment, with the flexibility and adaptability to respond effectively in complex, dynamic, or rapidly evolving situations. Analytical and critical thinking capability, including defining KPIs, interpreting data, and using insights to drive continuous improvement. Ability to prioritize work effectively, manage competing responsibilities, and meet established timelines. Capable of working independently and collaboratively, including leading and supporting a team in a remote or hybrid work environment. Additional information Supervisory responsibilities: IT Solutions Development Team Equipment used: Personal computer and other office equipment such as telephone, calculator, copier, scanner, etc. Essential job functions Ability to sit or stand for extended periods and perform tasks requiring prolonged and/or extensive computer use. Ability to use computers, telecommunications, and digital collaboration tools to perform core job responsibilities. Ability to engage in effective and professional communication. Ability to analyze complex information while maintaining attention to detail, managing multiple priorities, and exercising sound judgment in decision-making. Ability to access, use, and safeguard confidential and sensitive information while performing job responsibilities in work environments that support confidentiality, privacy, and information security requirements. Ability to work extended or adjusted hours as needed, including evenings, weekends, holidays, and early start times to support collaboration with international stakeholders across EMEA and the US, and to meet business, operational, or project needs. Ability to work in-office as required to meet business or project needs. Working conditions You will be required to work in the office at minimum 4 days per week. Occasionally called upon to work hours in excess of your normal daily schedule. The details of your weekly schedule will be discussed further with your direct supervisor. Pay ranges This represents the presently anticipated low and high end of Reed Smith's pay range for this position. Actual pay may vary based on various factors, including but not limited to location and experience. Pittsburgh: $148,000 - $162,000 Employee benefits overview Our comprehensive benefits package includes: 401(k) Retirement Plan Medical Insurance Health Savings Account (HSA) Virtual Health Services Dental Insurance Vision Insurance Accident Insurance Hospital Indemnity Insurance Critical Illness Insurance Life Insurance Short-Term Disability Coverage Long-Term Disability Coverage Flexible Spending Accounts (FSA) Lyra Health Employee Assistance Program (EAP) Paid Family Leave (for eligible Exempt and Non-Exempt staff) Transportation Benefit Back-up Child Care Services College Coach Program Pet Insurance Paid Sick Time (for Exempt staff) Paid Time Off (available to all full-time, non-temporary employees) Reed Smith offers a challenging work environment, business casual dress code and a total compensation package that includes a competitive salary, flexible benefits program, tuition assistance, and generous 401(k) plan. Reed Smith is an Equal Opportunity Employer with Core Values of Integrity, Excellence, Teamwork & Respect, Innovation, and Impact. Reed Smith also provides reasonable accommodations in accordance with law, including in the application and interview process. Qualified candidates only. No search firms.
11/13/2026
Full time
Position summary The Solutions Development Manager leads the design, development, and delivery of innovative software solutions that enhance legal practices and enterprise support functions. This role partners with stakeholders to translate complex requirements into technology solutions, overseeing assigned global platforms, system integrations, and software development projects while managing resources, monitoring project costs, and ensuring compliance with security, regulatory, and internal policies. The Manager leads a team of Analysts and Developers and drives the adoption of emerging technologies to support operational efficiency and transformative business outcomes. Job duties and responsibilities Lead the design, development, and implementation of tailored technology solutions for practice groups, attorneys, and clients, ensuring alignment with the firm's strategic objectives and enterprise technology roadmap. Partner with senior stakeholders to define requirements, evaluate technical solution options, recommend innovative solutions, and lead the implementation of assigned complex projects and system integrations. Lead and manage software development projects, including defining scope, allocating resources, managing deliverables, and coordinating vendor support to ensure successful outcomes. Develop project cost estimates and track project expenditures. Identify and assess risks associated with assigned technology solutions and projects, implement appropriate mitigation measures within established authority, and escalate significant risks to leadership. Ensure compliance with regulatory requirements, data privacy standards, and cybersecurity protocols. Monitor key performance indicators (KPIs) and success metrics for assigned technology solutions and development teams, using performance data to identify opportunities for continuous improvement. Communicate project status, risks, and recommendations to stakeholders and leadership, ensuring timely escalation of significant issues and supporting informed decision-making. Oversee the production and maintenance of assigned projects and platforms, including implementation strategies, project plans, cost analyses, and compliance records, adhering to firm standards, regulatory requirements, and cybersecurity best practices. Manage assigned global platforms such as intranet, extranet, room scheduling, and business intelligence (BI) systems, ensuring reliability, scalability, and continuous improvement. Champion the adoption and integration of emerging technologies, including cloud computing, automation, and artificial intelligence, to drive operational efficiency and innovation. Lead, mentor, and develop a team of Analysts and Developers, including hiring, performance management, and coaching to support team effectiveness and professional development. Establish, refine, and enforce software development policies, methodologies, best practices, and security standards, under the directorion of the Assistant Director, ensuring firm requirements, alignment with industry advancements and compliance obligations. Represent Solutions Development on firmwide committees, governance boards, or cross-functional project teams, providing technical expertise and contributing to enterprise technology initiatives. Perform other duties as assigned. Job duties and responsibilities included are not exhaustive and may be supplemented asnecessary. Reed Smith reserves the right to revise or modify job duties and responsibilities at any time. Requirements Education: Bachelor's Degree in an IT-related discipline is required. A Master's Degree and other relevant training, education, and certifications are preferred. Experience: Minimum of 7 years of software development experience, including expertise with React, MS SQL, and enterprise system integrations. Minimum of 3 years of experience leading or managing technical teams. Experience leading complex software development projects using Agile and DevOps methodologies. Expertise with BI platforms (Power BI, Tableau) and enterprise data visualization, analytics, and dashboard strategy. Deep knowledge of SharePoint-based intranet/extranet development and large-scale platform customization. Experience implementing emerging technologies, including cloud, AI, and automation, to support enterprise technology initiatives. Experience coordinating vendor relationships, including overseeing technical deliverables and evaluating third-party performance. Experience in a law firm or professional services environment strongly preferred. Skills: Demonstrated management and supervisory capability, leading, mentoring, and developing global technical teams. Strong knowledge of software development methodologies, system architecture, integrations, and enterprise platforms supporting the firm's technology environment. Strong project management capability, defining scope, allocating resources, managing deliverables, and overseeing multiple concurrent initiatives. Strong written and oral communication skills, presenting complex technical information clearly to senior leadership and diverse stakeholders. High degree of professionalism, discretion, and sound judgment, with the flexibility and adaptability to respond effectively in complex, dynamic, or rapidly evolving situations. Analytical and critical thinking capability, including defining KPIs, interpreting data, and using insights to drive continuous improvement. Ability to prioritize work effectively, manage competing responsibilities, and meet established timelines. Capable of working independently and collaboratively, including leading and supporting a team in a remote or hybrid work environment. Additional information Supervisory responsibilities: IT Solutions Development Team Equipment used: Personal computer and other office equipment such as telephone, calculator, copier, scanner, etc. Essential job functions Ability to sit or stand for extended periods and perform tasks requiring prolonged and/or extensive computer use. Ability to use computers, telecommunications, and digital collaboration tools to perform core job responsibilities. Ability to engage in effective and professional communication. Ability to analyze complex information while maintaining attention to detail, managing multiple priorities, and exercising sound judgment in decision-making. Ability to access, use, and safeguard confidential and sensitive information while performing job responsibilities in work environments that support confidentiality, privacy, and information security requirements. Ability to work extended or adjusted hours as needed, including evenings, weekends, holidays, and early start times to support collaboration with international stakeholders across EMEA and the US, and to meet business, operational, or project needs. Ability to work in-office as required to meet business or project needs. Working conditions You will be required to work in the office at minimum 4 days per week. Occasionally called upon to work hours in excess of your normal daily schedule. The details of your weekly schedule will be discussed further with your direct supervisor. Pay ranges This represents the presently anticipated low and high end of Reed Smith's pay range for this position. Actual pay may vary based on various factors, including but not limited to location and experience. Pittsburgh: $148,000 - $162,000 Employee benefits overview Our comprehensive benefits package includes: 401(k) Retirement Plan Medical Insurance Health Savings Account (HSA) Virtual Health Services Dental Insurance Vision Insurance Accident Insurance Hospital Indemnity Insurance Critical Illness Insurance Life Insurance Short-Term Disability Coverage Long-Term Disability Coverage Flexible Spending Accounts (FSA) Lyra Health Employee Assistance Program (EAP) Paid Family Leave (for eligible Exempt and Non-Exempt staff) Transportation Benefit Back-up Child Care Services College Coach Program Pet Insurance Paid Sick Time (for Exempt staff) Paid Time Off (available to all full-time, non-temporary employees) Reed Smith offers a challenging work environment, business casual dress code and a total compensation package that includes a competitive salary, flexible benefits program, tuition assistance, and generous 401(k) plan. Reed Smith is an Equal Opportunity Employer with Core Values of Integrity, Excellence, Teamwork & Respect, Innovation, and Impact. Reed Smith also provides reasonable accommodations in accordance with law, including in the application and interview process. Qualified candidates only. No search firms.
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Principal Data Scientist is the senior technical and scientific leader for AbbVie's omnichannel engagement analytics, a data and analytics-driven engagement optimization program spanning channel mix, content, field representative call planning, and orchestration. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role sets the multi-year science vision for personalized commercial engagement and is accountable for the technical strategy, methodology, and scientific rigor of the AI/ML and statistical solutions that power it. Reporting to the Associate Director, Data Science, the Principal is a thought partner to commercial and analytics leadership: shaping which problems are worth solving, forming and defending a point of view on how AI creates measurable business value, and partnering with product owners to turn that vision into scalable solutions. The role combines deep, hands-on expertise in applied machine learning, generative AI, causal inference, and experimentation with the consultative skill to align a complex stakeholder ecosystem around the right answer. Key Responsibilities Define the Data Science vision: Own the multi-year Data Science vision and technical roadmap for omnichannel engagement analytics, anticipating where both the business and the field of AI are heading. Shape how AI creates business value: identify, size, and prioritize opportunities where AI can drive measurable commercial impact, build the business case, and influence senior leadership decisions on where to invest. Lead hands-on with Gen-AI: Personally use AI-assisted development and agentic tools to prototype, test hypotheses, and demonstrate value quickly; build LLM-backed systems using advanced RAG and context engineering, paired with rigorous scientific evaluation frameworks to scale highly reliable omnichannel recommendations. Lead the design of predictive and causal models: Develop next-best-action, recommendation, and sequential decision models that inform customer engagement and resource allocation using complex, multi-source data. Own measurement science: set the standard for measuring effectiveness, incrementality, and business impact using experimental and quasi-experimental methods, so that AI investments are evaluated rigorously. Partner with product owners to shape problems, not just fulfill requirements: co-define business outcomes, scope, and success metrics, and translate them into scalable technical solutions. Navigate a complex stakeholder ecosystem: build alignment across brand and marketing leaders, field sales and operations, Medical, Legal and Regulatory (MLR), Compliance, BTS, Digital Lab, and external vendors; reframe requests into well-posed problems and resolve competing priorities. Communicate with executive impact: translate complex methods and findings into clear recommendations and compelling narratives for executive and non-technical audiences. Productionize at scale: Partner with BTS, Digital Lab, engineering, and platform teams to deploy, monitor, and manage the lifecycle of AI/ML solutions. Raise the bar for scientific rigor: establish best practices in model development, code quality, reproducibility, peer review, and responsible AI across the data science community. Be a thought leader: stay at the forefront of research and practice in machine learning, generative AI, and causal inference; bring new ideas into the team; provoke rigorous analytical debate; and represent AbbVie's point of view internally and in the broader analytics community. Supervisory / Management Responsibilities This role does not carry formal direct report responsibilities but is expected to act as a technical leader and mentor across the broader data science community, raising the bar on scientific rigor and hands-on AI practice. The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners, including oversight of deliverable quality and methodology validation. Key Competencies Scientific Engineering Depth: Deep expertise in machine learning, causal inference, and generative AI, combined with strong engineering discipline in reproducibility, deployment, and enterprise integration. AI Fluency and Bias to Action: Uses AI hands-on in daily work to prototype, analyze, and build; critically evaluates AI output; and turns ideas into working solutions quickly. Business Judgment and Problem-Framing: Translates ambiguous business challenges into well-scoped problems, connects technical choices to commercial value, and sets long-term technical direction while staying close to delivery. Stakeholder Navigation and Executive Influence: Reads organizational dynamics to build alignment across commercial, regulatory, and technology partners, earning trust as a thought partner to win support from senior leaders. Thought Leadership: Challenges conventional thinking and sparks meaningful analytical debate with peers and executives. Qualifications Education Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required; Master's or PhD in a quantitative field strongly preferred. Required Experience 8+ years of experience in data science, machine learning, or applied science (or 6+ years with a PhD), with a track record of delivering production-quality models that drove measurable business impact. Demonstrated experience setting technical direction for a portfolio of AI/ML solutions and influencing decisions of senior business leaders. Experience building personalization, recommendation, decision-optimization, or marketing-science solutions, in any industry. Deep hands-on expertise in causal inference and experimentation, including A/B testing and quasi-experimental methods, to measure business impact. Demonstrated hands-on experience using generative AI and AI-assisted development tools (e.g., LLM APIs, AI coding assistants, agent frameworks) to prototype and deliver solutions, with concrete examples that can be walked through during the interview process. Expert proficiency in Python and SQL, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and distributed data processing. Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management. Track record of leading initiatives across complex, cross-functional stakeholder environments and presenting to executive audiences. Preferred Experience Commercial analytics experience in pharmaceutical, biotech, healthcare, or life sciences, including familiarity with data sources such as IQVIA, Symphony Health, APLD, or similar Rx, claims, and engagement data. Experience in omnichannel analytics, such as journey analysis, touchpoint measurement, closed-loop measurement, or next-best-action for HCP or patient engagement. Experience with advanced ML and optimization methods, including reinforcement learning, multi-armed bandits, transformers, and other approaches for sequential or recommendation use cases. Experience building LLM-based and agentic AI systems, including orchestration frameworks, evaluation, and integration through APIs and pipelines. Experience with cloud ML platforms and MLOps tools such as Azure ML, Databricks, and MLflow. External visibility through conference talks, publications, patents, open-source contributions, or recognized industry thought leadership. Experience working in agile product development environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity . click apply for full job details
11/11/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Principal Data Scientist is the senior technical and scientific leader for AbbVie's omnichannel engagement analytics, a data and analytics-driven engagement optimization program spanning channel mix, content, field representative call planning, and orchestration. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role sets the multi-year science vision for personalized commercial engagement and is accountable for the technical strategy, methodology, and scientific rigor of the AI/ML and statistical solutions that power it. Reporting to the Associate Director, Data Science, the Principal is a thought partner to commercial and analytics leadership: shaping which problems are worth solving, forming and defending a point of view on how AI creates measurable business value, and partnering with product owners to turn that vision into scalable solutions. The role combines deep, hands-on expertise in applied machine learning, generative AI, causal inference, and experimentation with the consultative skill to align a complex stakeholder ecosystem around the right answer. Key Responsibilities Define the Data Science vision: Own the multi-year Data Science vision and technical roadmap for omnichannel engagement analytics, anticipating where both the business and the field of AI are heading. Shape how AI creates business value: identify, size, and prioritize opportunities where AI can drive measurable commercial impact, build the business case, and influence senior leadership decisions on where to invest. Lead hands-on with Gen-AI: Personally use AI-assisted development and agentic tools to prototype, test hypotheses, and demonstrate value quickly; build LLM-backed systems using advanced RAG and context engineering, paired with rigorous scientific evaluation frameworks to scale highly reliable omnichannel recommendations. Lead the design of predictive and causal models: Develop next-best-action, recommendation, and sequential decision models that inform customer engagement and resource allocation using complex, multi-source data. Own measurement science: set the standard for measuring effectiveness, incrementality, and business impact using experimental and quasi-experimental methods, so that AI investments are evaluated rigorously. Partner with product owners to shape problems, not just fulfill requirements: co-define business outcomes, scope, and success metrics, and translate them into scalable technical solutions. Navigate a complex stakeholder ecosystem: build alignment across brand and marketing leaders, field sales and operations, Medical, Legal and Regulatory (MLR), Compliance, BTS, Digital Lab, and external vendors; reframe requests into well-posed problems and resolve competing priorities. Communicate with executive impact: translate complex methods and findings into clear recommendations and compelling narratives for executive and non-technical audiences. Productionize at scale: Partner with BTS, Digital Lab, engineering, and platform teams to deploy, monitor, and manage the lifecycle of AI/ML solutions. Raise the bar for scientific rigor: establish best practices in model development, code quality, reproducibility, peer review, and responsible AI across the data science community. Be a thought leader: stay at the forefront of research and practice in machine learning, generative AI, and causal inference; bring new ideas into the team; provoke rigorous analytical debate; and represent AbbVie's point of view internally and in the broader analytics community. Supervisory / Management Responsibilities This role does not carry formal direct report responsibilities but is expected to act as a technical leader and mentor across the broader data science community, raising the bar on scientific rigor and hands-on AI practice. The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners, including oversight of deliverable quality and methodology validation. Key Competencies Scientific Engineering Depth: Deep expertise in machine learning, causal inference, and generative AI, combined with strong engineering discipline in reproducibility, deployment, and enterprise integration. AI Fluency and Bias to Action: Uses AI hands-on in daily work to prototype, analyze, and build; critically evaluates AI output; and turns ideas into working solutions quickly. Business Judgment and Problem-Framing: Translates ambiguous business challenges into well-scoped problems, connects technical choices to commercial value, and sets long-term technical direction while staying close to delivery. Stakeholder Navigation and Executive Influence: Reads organizational dynamics to build alignment across commercial, regulatory, and technology partners, earning trust as a thought partner to win support from senior leaders. Thought Leadership: Challenges conventional thinking and sparks meaningful analytical debate with peers and executives. Qualifications Education Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required; Master's or PhD in a quantitative field strongly preferred. Required Experience 8+ years of experience in data science, machine learning, or applied science (or 6+ years with a PhD), with a track record of delivering production-quality models that drove measurable business impact. Demonstrated experience setting technical direction for a portfolio of AI/ML solutions and influencing decisions of senior business leaders. Experience building personalization, recommendation, decision-optimization, or marketing-science solutions, in any industry. Deep hands-on expertise in causal inference and experimentation, including A/B testing and quasi-experimental methods, to measure business impact. Demonstrated hands-on experience using generative AI and AI-assisted development tools (e.g., LLM APIs, AI coding assistants, agent frameworks) to prototype and deliver solutions, with concrete examples that can be walked through during the interview process. Expert proficiency in Python and SQL, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and distributed data processing. Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management. Track record of leading initiatives across complex, cross-functional stakeholder environments and presenting to executive audiences. Preferred Experience Commercial analytics experience in pharmaceutical, biotech, healthcare, or life sciences, including familiarity with data sources such as IQVIA, Symphony Health, APLD, or similar Rx, claims, and engagement data. Experience in omnichannel analytics, such as journey analysis, touchpoint measurement, closed-loop measurement, or next-best-action for HCP or patient engagement. Experience with advanced ML and optimization methods, including reinforcement learning, multi-armed bandits, transformers, and other approaches for sequential or recommendation use cases. Experience building LLM-based and agentic AI systems, including orchestration frameworks, evaluation, and integration through APIs and pipelines. Experience with cloud ML platforms and MLOps tools such as Azure ML, Databricks, and MLflow. External visibility through conference talks, publications, patents, open-source contributions, or recognized industry thought leadership. Experience working in agile product development environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity . click apply for full job details
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Principal Data Scientist is the senior technical and scientific leader for AbbVie's omnichannel engagement analytics, a data and analytics-driven engagement optimization program spanning channel mix, content, field representative call planning, and orchestration. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role sets the multi-year science vision for personalized commercial engagement and is accountable for the technical strategy, methodology, and scientific rigor of the AI/ML and statistical solutions that power it. Reporting to the Associate Director, Data Science, the Principal is a thought partner to commercial and analytics leadership: shaping which problems are worth solving, forming and defending a point of view on how AI creates measurable business value, and partnering with product owners to turn that vision into scalable solutions. The role combines deep, hands-on expertise in applied machine learning, generative AI, causal inference, and experimentation with the consultative skill to align a complex stakeholder ecosystem around the right answer. Key Responsibilities Define the Data Science vision: Own the multi-year Data Science vision and technical roadmap for omnichannel engagement analytics, anticipating where both the business and the field of AI are heading. Shape how AI creates business value: identify, size, and prioritize opportunities where AI can drive measurable commercial impact, build the business case, and influence senior leadership decisions on where to invest. Lead hands-on with Gen-AI: Personally use AI-assisted development and agentic tools to prototype, test hypotheses, and demonstrate value quickly; build LLM-backed systems using advanced RAG and context engineering, paired with rigorous scientific evaluation frameworks to scale highly reliable omnichannel recommendations. Lead the design of predictive and causal models: Develop next-best-action, recommendation, and sequential decision models that inform customer engagement and resource allocation using complex, multi-source data. Own measurement science: set the standard for measuring effectiveness, incrementality, and business impact using experimental and quasi-experimental methods, so that AI investments are evaluated rigorously. Partner with product owners to shape problems, not just fulfill requirements: co-define business outcomes, scope, and success metrics, and translate them into scalable technical solutions. Navigate a complex stakeholder ecosystem: build alignment across brand and marketing leaders, field sales and operations, Medical, Legal and Regulatory (MLR), Compliance, BTS, Digital Lab, and external vendors; reframe requests into well-posed problems and resolve competing priorities. Communicate with executive impact: translate complex methods and findings into clear recommendations and compelling narratives for executive and non-technical audiences. Productionize at scale: Partner with BTS, Digital Lab, engineering, and platform teams to deploy, monitor, and manage the lifecycle of AI/ML solutions. Raise the bar for scientific rigor: establish best practices in model development, code quality, reproducibility, peer review, and responsible AI across the data science community. Be a thought leader: stay at the forefront of research and practice in machine learning, generative AI, and causal inference; bring new ideas into the team; provoke rigorous analytical debate; and represent AbbVie's point of view internally and in the broader analytics community. Supervisory / Management Responsibilities This role does not carry formal direct report responsibilities but is expected to act as a technical leader and mentor across the broader data science community, raising the bar on scientific rigor and hands-on AI practice. The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners, including oversight of deliverable quality and methodology validation. Key Competencies Scientific Engineering Depth: Deep expertise in machine learning, causal inference, and generative AI, combined with strong engineering discipline in reproducibility, deployment, and enterprise integration. AI Fluency and Bias to Action: Uses AI hands-on in daily work to prototype, analyze, and build; critically evaluates AI output; and turns ideas into working solutions quickly. Business Judgment and Problem-Framing: Translates ambiguous business challenges into well-scoped problems, connects technical choices to commercial value, and sets long-term technical direction while staying close to delivery. Stakeholder Navigation and Executive Influence: Reads organizational dynamics to build alignment across commercial, regulatory, and technology partners, earning trust as a thought partner to win support from senior leaders. Thought Leadership: Challenges conventional thinking and sparks meaningful analytical debate with peers and executives. Qualifications Education Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required; Master's or PhD in a quantitative field strongly preferred. Required Experience 8+ years of experience in data science, machine learning, or applied science (or 6+ years with a PhD), with a track record of delivering production-quality models that drove measurable business impact. Demonstrated experience setting technical direction for a portfolio of AI/ML solutions and influencing decisions of senior business leaders. Experience building personalization, recommendation, decision-optimization, or marketing-science solutions, in any industry. Deep hands-on expertise in causal inference and experimentation, including A/B testing and quasi-experimental methods, to measure business impact. Demonstrated hands-on experience using generative AI and AI-assisted development tools (e.g., LLM APIs, AI coding assistants, agent frameworks) to prototype and deliver solutions, with concrete examples that can be walked through during the interview process. Expert proficiency in Python and SQL, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and distributed data processing. Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management. Track record of leading initiatives across complex, cross-functional stakeholder environments and presenting to executive audiences. Preferred Experience Commercial analytics experience in pharmaceutical, biotech, healthcare, or life sciences, including familiarity with data sources such as IQVIA, Symphony Health, APLD, or similar Rx, claims, and engagement data. Experience in omnichannel analytics, such as journey analysis, touchpoint measurement, closed-loop measurement, or next-best-action for HCP or patient engagement. Experience with advanced ML and optimization methods, including reinforcement learning, multi-armed bandits, transformers, and other approaches for sequential or recommendation use cases. Experience building LLM-based and agentic AI systems, including orchestration frameworks, evaluation, and integration through APIs and pipelines. Experience with cloud ML platforms and MLOps tools such as Azure ML, Databricks, and MLflow. External visibility through conference talks, publications, patents, open-source contributions, or recognized industry thought leadership. Experience working in agile product development environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity . click apply for full job details
11/11/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Principal Data Scientist is the senior technical and scientific leader for AbbVie's omnichannel engagement analytics, a data and analytics-driven engagement optimization program spanning channel mix, content, field representative call planning, and orchestration. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role sets the multi-year science vision for personalized commercial engagement and is accountable for the technical strategy, methodology, and scientific rigor of the AI/ML and statistical solutions that power it. Reporting to the Associate Director, Data Science, the Principal is a thought partner to commercial and analytics leadership: shaping which problems are worth solving, forming and defending a point of view on how AI creates measurable business value, and partnering with product owners to turn that vision into scalable solutions. The role combines deep, hands-on expertise in applied machine learning, generative AI, causal inference, and experimentation with the consultative skill to align a complex stakeholder ecosystem around the right answer. Key Responsibilities Define the Data Science vision: Own the multi-year Data Science vision and technical roadmap for omnichannel engagement analytics, anticipating where both the business and the field of AI are heading. Shape how AI creates business value: identify, size, and prioritize opportunities where AI can drive measurable commercial impact, build the business case, and influence senior leadership decisions on where to invest. Lead hands-on with Gen-AI: Personally use AI-assisted development and agentic tools to prototype, test hypotheses, and demonstrate value quickly; build LLM-backed systems using advanced RAG and context engineering, paired with rigorous scientific evaluation frameworks to scale highly reliable omnichannel recommendations. Lead the design of predictive and causal models: Develop next-best-action, recommendation, and sequential decision models that inform customer engagement and resource allocation using complex, multi-source data. Own measurement science: set the standard for measuring effectiveness, incrementality, and business impact using experimental and quasi-experimental methods, so that AI investments are evaluated rigorously. Partner with product owners to shape problems, not just fulfill requirements: co-define business outcomes, scope, and success metrics, and translate them into scalable technical solutions. Navigate a complex stakeholder ecosystem: build alignment across brand and marketing leaders, field sales and operations, Medical, Legal and Regulatory (MLR), Compliance, BTS, Digital Lab, and external vendors; reframe requests into well-posed problems and resolve competing priorities. Communicate with executive impact: translate complex methods and findings into clear recommendations and compelling narratives for executive and non-technical audiences. Productionize at scale: Partner with BTS, Digital Lab, engineering, and platform teams to deploy, monitor, and manage the lifecycle of AI/ML solutions. Raise the bar for scientific rigor: establish best practices in model development, code quality, reproducibility, peer review, and responsible AI across the data science community. Be a thought leader: stay at the forefront of research and practice in machine learning, generative AI, and causal inference; bring new ideas into the team; provoke rigorous analytical debate; and represent AbbVie's point of view internally and in the broader analytics community. Supervisory / Management Responsibilities This role does not carry formal direct report responsibilities but is expected to act as a technical leader and mentor across the broader data science community, raising the bar on scientific rigor and hands-on AI practice. The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners, including oversight of deliverable quality and methodology validation. Key Competencies Scientific Engineering Depth: Deep expertise in machine learning, causal inference, and generative AI, combined with strong engineering discipline in reproducibility, deployment, and enterprise integration. AI Fluency and Bias to Action: Uses AI hands-on in daily work to prototype, analyze, and build; critically evaluates AI output; and turns ideas into working solutions quickly. Business Judgment and Problem-Framing: Translates ambiguous business challenges into well-scoped problems, connects technical choices to commercial value, and sets long-term technical direction while staying close to delivery. Stakeholder Navigation and Executive Influence: Reads organizational dynamics to build alignment across commercial, regulatory, and technology partners, earning trust as a thought partner to win support from senior leaders. Thought Leadership: Challenges conventional thinking and sparks meaningful analytical debate with peers and executives. Qualifications Education Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required; Master's or PhD in a quantitative field strongly preferred. Required Experience 8+ years of experience in data science, machine learning, or applied science (or 6+ years with a PhD), with a track record of delivering production-quality models that drove measurable business impact. Demonstrated experience setting technical direction for a portfolio of AI/ML solutions and influencing decisions of senior business leaders. Experience building personalization, recommendation, decision-optimization, or marketing-science solutions, in any industry. Deep hands-on expertise in causal inference and experimentation, including A/B testing and quasi-experimental methods, to measure business impact. Demonstrated hands-on experience using generative AI and AI-assisted development tools (e.g., LLM APIs, AI coding assistants, agent frameworks) to prototype and deliver solutions, with concrete examples that can be walked through during the interview process. Expert proficiency in Python and SQL, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and distributed data processing. Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management. Track record of leading initiatives across complex, cross-functional stakeholder environments and presenting to executive audiences. Preferred Experience Commercial analytics experience in pharmaceutical, biotech, healthcare, or life sciences, including familiarity with data sources such as IQVIA, Symphony Health, APLD, or similar Rx, claims, and engagement data. Experience in omnichannel analytics, such as journey analysis, touchpoint measurement, closed-loop measurement, or next-best-action for HCP or patient engagement. Experience with advanced ML and optimization methods, including reinforcement learning, multi-armed bandits, transformers, and other approaches for sequential or recommendation use cases. Experience building LLM-based and agentic AI systems, including orchestration frameworks, evaluation, and integration through APIs and pipelines. Experience with cloud ML platforms and MLOps tools such as Azure ML, Databricks, and MLflow. External visibility through conference talks, publications, patents, open-source contributions, or recognized industry thought leadership. Experience working in agile product development environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity . click apply for full job details
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Application Development - Engineering Operations Tools & Application Development Job Code: 45113 Job Location: Greenville, TX (On-site) Job Schedule: 1st Shift 9/80 Job Description: As an Application Development Specialist, you will be responsible for playing a crucial role in developing, maintaining and integrating our backend systems in a closed area, including our Golang Teamcenter libraries, NX ufunc, Capital Harness DRC libraries among other reusable and extensible codebase. You will primarily manage, enhance and integrate our microservices infrastructure while contributing to broader general to be defined tasking due to the unique nature of the program. This role requires a self-driven individual who can work independently and prioritize tasking based on program rea need balanced with broader business requirements and is proactive in staying current with emerging technologies and can participate in efforts effectively with a small team of developers as well as balance the program security control functions. Essential Functions: Develop, maintain, integrate, upgrade and enhance Golang Teamcenter libraries, NX ufunc, Capital Harness DRC libraries among other reusable and extensible codebase. Develop, maintain, integrate, and upgrade the upkeep of and management of microservices within our technology stack. Collaborate with cross-functional teams to integrate backend systems with web applications. Personally, maintaining some self-driven or time driven projects with a large amount of autonomy as required. Stay updated with industry trends and technologies to ensure our systems remain cutting-edge. Troubleshoot and resolve issues related to API integrations and microservices versus program security control implementation and provide solutions not too far out of line with general established solutions. Contributes to the design and architecture of scalable and efficient backend systems. Advocate and arbitrate with the team for best design based on requirements defined to be met. Understanding in Golang, C#, JavaScript, and Vue, or equivalent languages. Familiarity with PLM tools and CAD/CAM and teams Custom developed applications/systems garnered towards the ISR business model. Strong understanding of microservices architecture implementation. Experience with integrating disparate tools into a PLM suite such as Simulations, Requirements Management, MBSE, or "unique space" and be comfortable explaining what was required in detail. Excellent problem-solving skills and the ability to adapt to new technologies, provide solutions and once confirmed, implement said solutions. Strong communication skills, status and prioritization and the ability to work effectively in a fast-paced environment with minimal oversight. Utilization of and development for Teamcenter RAC and/or Active Workspace experience Experience and hands on exposure for working with large data migrations/transforms. Aptitude in working directly with infrastructure/architecture across various virtualization platforms and program vs enterprise teams. Comfort in uncharted digital territories with results delivery as it applies to business need. Other duties as assigned by Supervisor. Qualifications: Bachelor's Degree with four (4) years of Software development with a focus on backend systems experience. Graduate Degree with two (2) years of Software development with a focus on backend systems experience. In lieu of a degree, minimum of eight (8) years of Software development with a focus on backend systems experience. Must have an active Secret clearance at the time of hire. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Application Development - Engineering Operations Tools & Application Development Job Code: 45113 Job Location: Greenville, TX (On-site) Job Schedule: 1st Shift 9/80 Job Description: As an Application Development Specialist, you will be responsible for playing a crucial role in developing, maintaining and integrating our backend systems in a closed area, including our Golang Teamcenter libraries, NX ufunc, Capital Harness DRC libraries among other reusable and extensible codebase. You will primarily manage, enhance and integrate our microservices infrastructure while contributing to broader general to be defined tasking due to the unique nature of the program. This role requires a self-driven individual who can work independently and prioritize tasking based on program rea need balanced with broader business requirements and is proactive in staying current with emerging technologies and can participate in efforts effectively with a small team of developers as well as balance the program security control functions. Essential Functions: Develop, maintain, integrate, upgrade and enhance Golang Teamcenter libraries, NX ufunc, Capital Harness DRC libraries among other reusable and extensible codebase. Develop, maintain, integrate, and upgrade the upkeep of and management of microservices within our technology stack. Collaborate with cross-functional teams to integrate backend systems with web applications. Personally, maintaining some self-driven or time driven projects with a large amount of autonomy as required. Stay updated with industry trends and technologies to ensure our systems remain cutting-edge. Troubleshoot and resolve issues related to API integrations and microservices versus program security control implementation and provide solutions not too far out of line with general established solutions. Contributes to the design and architecture of scalable and efficient backend systems. Advocate and arbitrate with the team for best design based on requirements defined to be met. Understanding in Golang, C#, JavaScript, and Vue, or equivalent languages. Familiarity with PLM tools and CAD/CAM and teams Custom developed applications/systems garnered towards the ISR business model. Strong understanding of microservices architecture implementation. Experience with integrating disparate tools into a PLM suite such as Simulations, Requirements Management, MBSE, or "unique space" and be comfortable explaining what was required in detail. Excellent problem-solving skills and the ability to adapt to new technologies, provide solutions and once confirmed, implement said solutions. Strong communication skills, status and prioritization and the ability to work effectively in a fast-paced environment with minimal oversight. Utilization of and development for Teamcenter RAC and/or Active Workspace experience Experience and hands on exposure for working with large data migrations/transforms. Aptitude in working directly with infrastructure/architecture across various virtualization platforms and program vs enterprise teams. Comfort in uncharted digital territories with results delivery as it applies to business need. Other duties as assigned by Supervisor. Qualifications: Bachelor's Degree with four (4) years of Software development with a focus on backend systems experience. Graduate Degree with two (2) years of Software development with a focus on backend systems experience. In lieu of a degree, minimum of eight (8) years of Software development with a focus on backend systems experience. Must have an active Secret clearance at the time of hire. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
