NORC at the University of Chicago
Chicago, Illinois
JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Scientist I to join the Methodology and Quantitative Social Sciences department and support innovative research, analytics, and AI initiatives. The Data Scientist I works collaboratively with methodologists, researchers, statisticians, software developers, and subject matter experts to develop data science and artificial intelligence solutions that improve research, operational efficiency, and decision-making. This role combines strong foundations in data management, statistical modeling, machine learning, and computational social science with emerging capabilities in generative AI and large language models (LLMs). The Data Scientist I will contribute to projects involving structured and unstructured data, survey data, administrative records, commercial data, text data, and other novel data sources. Responsibilities may include developing analytical workflows, building machine learning models, creating AI-powered applications, fine-tuning foundation models, implementing retrieval-augmented generation (RAG) systems, and supporting deployment of AI solutions in secure cloud environments. The ideal candidate possesses strong Python programming skills, experience building reproducible analytical workflows, and a demonstrated interest in applying modern AI technologies to solve complex research and business problems. Location: This is a hybrid role based in our Washington, DC and Chicago downtown offices, with a minimum of six days per month in the office. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. DEPARTMENT: Methodology and Quantitative Social Sciences The Methodology and Quantitative Social Sciences department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Methodological and Quantitative Social Sciences department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for gathering, evaluating, and analyzing data from primary and secondary sources. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization, use of novel data sources and technologies to improve data gathering, and building AI solutions that support NORC's research. The department collaborates with the Statistics and Data Science Department on areas of synergy and intersection and with all NORC subject matter departments, in addition to leading its own projects. RESPONSIBILITIES: Collaborate with methodologists and subject matter experts to design, develop, evaluate, and deploy AI-enabled applications that support research and operational objectives. Fine-tune, adapt, or customize machine learning and language models for domain-specific tasks. Build and evaluate retrieval-augmented generation (RAG) solutions using vector databases and semantic search techniques for data and analysis projects in NORC's research focus areas. Develop prompt engineering strategies and evaluation frameworks for generative AI systems. Implement model monitoring, testing, validation, and performance optimization processes. Apply natural language processing techniques for text classification, information extraction, summarization, and content analysis. Support experimentation with AI agents, tool calling, and workflow automation. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree in computational social science, data science, computer science or a related quantitative field with social science emphasis. At least 4 years of relevant experience (graduate research, internships, and applied professional experience may be considered). Advanced proficiency in Python. Strong experience with SQL and relational databases. Experience developing software, data pipelines, or analytical applications. Experience conducting statistical analysis and machine learning using real-world datasets. Knowledge of supervised and unsupervised machine learning methods. Experience working with Git and collaborative development workflows. Strong problem-solving and analytical skills. Excellent communication and technical writing skills. Ability to explain technical concepts to diverse audiences. Preferred Skills: Familiarity with AI agents and workflow orchestration frameworks. Additional expertise in large and small language models, and machine learning, in working in cloud environments (e.g., AWS, Azure, GCP), and with command-line workflows (e.g., in bash). Developing machine learning models, data pipelines, and AI-powered applications, as described above, to support social science research. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. SALARY AND BENEFITS: The pay range for this position is $90,000-$100,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.
JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Scientist I to join the Methodology and Quantitative Social Sciences department and support innovative research, analytics, and AI initiatives. The Data Scientist I works collaboratively with methodologists, researchers, statisticians, software developers, and subject matter experts to develop data science and artificial intelligence solutions that improve research, operational efficiency, and decision-making. This role combines strong foundations in data management, statistical modeling, machine learning, and computational social science with emerging capabilities in generative AI and large language models (LLMs). The Data Scientist I will contribute to projects involving structured and unstructured data, survey data, administrative records, commercial data, text data, and other novel data sources. Responsibilities may include developing analytical workflows, building machine learning models, creating AI-powered applications, fine-tuning foundation models, implementing retrieval-augmented generation (RAG) systems, and supporting deployment of AI solutions in secure cloud environments. The ideal candidate possesses strong Python programming skills, experience building reproducible analytical workflows, and a demonstrated interest in applying modern AI technologies to solve complex research and business problems. Location: This is a hybrid role based in our Washington, DC and Chicago downtown offices, with a minimum of six days per month in the office. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. DEPARTMENT: Methodology and Quantitative Social Sciences The Methodology and Quantitative Social Sciences department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Methodological and Quantitative Social Sciences department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for gathering, evaluating, and analyzing data from primary and secondary sources. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization, use of novel data sources and technologies to improve data gathering, and building AI solutions that support NORC's research. The department collaborates with the Statistics and Data Science Department on areas of synergy and intersection and with all NORC subject matter departments, in addition to leading its own projects. RESPONSIBILITIES: Collaborate with methodologists and subject matter experts to design, develop, evaluate, and deploy AI-enabled applications that support research and operational objectives. Fine-tune, adapt, or customize machine learning and language models for domain-specific tasks. Build and evaluate retrieval-augmented generation (RAG) solutions using vector databases and semantic search techniques for data and analysis projects in NORC's research focus areas. Develop prompt engineering strategies and evaluation frameworks for generative AI systems. Implement model monitoring, testing, validation, and performance optimization processes. Apply natural language processing techniques for text classification, information extraction, summarization, and content analysis. Support experimentation with AI agents, tool calling, and workflow automation. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree in computational social science, data science, computer science or a related quantitative field with social science emphasis. At least 4 years of relevant experience (graduate research, internships, and applied professional experience may be considered). Advanced proficiency in Python. Strong experience with SQL and relational databases. Experience developing software, data pipelines, or analytical applications. Experience conducting statistical analysis and machine learning using real-world datasets. Knowledge of supervised and unsupervised machine learning methods. Experience working with Git and collaborative development workflows. Strong problem-solving and analytical skills. Excellent communication and technical writing skills. Ability to explain technical concepts to diverse audiences. Preferred Skills: Familiarity with AI agents and workflow orchestration frameworks. Additional expertise in large and small language models, and machine learning, in working in cloud environments (e.g., AWS, Azure, GCP), and with command-line workflows (e.g., in bash). Developing machine learning models, data pipelines, and AI-powered applications, as described above, to support social science research. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. SALARY AND BENEFITS: The pay range for this position is $90,000-$100,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.
ASPIRE HR LLC
Dallas, Texas
Company Summary Founded in 1998, AspireHR is a woman owned US-based SAP HR and SAP SuccessFactors Gold Partner, working with HR organizations across North America to successfully implement best-in-class HCXM (Human Capital Experience Management) solutions. AspireHR is a purpose driven company that provides a wide range of services and software solutions for both the implementation and maintenance of HXM systems that includes our own proprietary software as well as long-term managed service agreements. The AspireHR team has built an impressive roster of clients by combining a cost-effective implementation strategy, an innovative mix of HCXM technologies and excellent customer service. Our focus is Employees First. We are careful to select people for our team that have demonstrated excellence through their skills, character and background. AspireHR invests in our people and capabilities to differentiate us from competitors. For more information, please visit . Scope and Responsibilities We are expanding our team to add a dynamic Service Desk Technician to provide our clients and their employees with front line help while creating an incredible customer service experience. This person must be located in DFW and able to come into the office in Dallas. In this role, you will be providing support services for clients, product engineers, delivery consultants, and executives. You'll have the opportunity to work directly with deeply experienced technology and HR professionals along with engaging with clients based around the world! As a member within the AMS & BPO Team, you'll work with the HCM cloud technologies and grow your skill set as you collaborate to help build and grow our AMS & BPO practice. Specific Responsibilities Your day-to-day activities will include support of AspireHR clients, employees, and contractors. Handle incoming phone and email customer support requests Troubleshoot HCM and related IT and HR systems. Examples include but are not limited to: o Time and Attendance o Onboarding o Payroll o Policy Assistance Provide comprehensive solutions with exceptional customer service and client engagement Provide general process guidance and payroll assistance related to the Client's policies Assist the onboarding of client new hires thru system navigation and policy questions Ensure efficient coordination, prioritization and resolution of support requests in compliance with SLAs Proactively communicates support status to client Escalate or engage additional resources to resolve support requests as needed Learn from and working with an amazing team of brilliant people Be a frontline representative for our IT service desk organization and the first person the company relies on for help Document all client interactions and troubleshooting measures taken into the ITSM tool of record Assist in the development and documentation of support solutions for input into our knowledge management system Key Selection Criteria Customer service experience with demonstrated ability to resolve issues and create a positive interaction Ability to execute assignments and demonstrate value added contributions Understand and familiar with general IT, HR and business process terminology Demonstrated ability to troubleshoot independently with logic and intellect Experience with Human Resources and Payroll related roles and support preferred Prior experience working with SAP SuccessFactors or ERP/HCM Cloud software preferred Prior experience working on a support team with ITSM tools preferred Proficient with Office365 andTeams Prior experience working on IT and/or business application support teams ITIL foundations, SAP, AWS experience or related certifications desired Associates or Bachelor's degree in IT related field preferred Analytical with a passion to research and identify solutions Culture Authentic - This is a genuine culture where people bring their real, whole selves to the office and their clients. We operate in a customer-centric culture, not an ego-centric culture. Inspirational & Passionate - We orchestrate a competitive and compelling mission with an aligned set of values, goals, and a winning strategic path. High learning agility - We place high trust in our employees to make hundreds of decisions daily and know when to zoom-in and zoom-out on any number of topics, and quickly learn to scale themselves as the company grows. Keep it simple. Integrity - Live the values of the company. Employees First - AspireHR is known for its ability to outperform the competition because of our exceptional talent. We seek candidates that display a servant/leader mentality. Personal / Professional Attributes Foster a mindset that contributes to maintenance and further development of client support excellence Excited to join an agile, cutting edge and fast paced growing company Self-starter that is willing to jump in and learn new areas Collaborative and positive attitude Good interpersonal skills with the ability to work effectively and build meaningful partnerships with others Strong background of integrity and trust Strong and effective communication style with team members, customers, and leaders, both written and verbal At AspireHR, we put our employees first in everything we do. We are proud to celebrate and support our differences by being an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or any other basis covered by appropriate law. PI5-
Company Summary Founded in 1998, AspireHR is a woman owned US-based SAP HR and SAP SuccessFactors Gold Partner, working with HR organizations across North America to successfully implement best-in-class HCXM (Human Capital Experience Management) solutions. AspireHR is a purpose driven company that provides a wide range of services and software solutions for both the implementation and maintenance of HXM systems that includes our own proprietary software as well as long-term managed service agreements. The AspireHR team has built an impressive roster of clients by combining a cost-effective implementation strategy, an innovative mix of HCXM technologies and excellent customer service. Our focus is Employees First. We are careful to select people for our team that have demonstrated excellence through their skills, character and background. AspireHR invests in our people and capabilities to differentiate us from competitors. For more information, please visit . Scope and Responsibilities We are expanding our team to add a dynamic Service Desk Technician to provide our clients and their employees with front line help while creating an incredible customer service experience. This person must be located in DFW and able to come into the office in Dallas. In this role, you will be providing support services for clients, product engineers, delivery consultants, and executives. You'll have the opportunity to work directly with deeply experienced technology and HR professionals along with engaging with clients based around the world! As a member within the AMS & BPO Team, you'll work with the HCM cloud technologies and grow your skill set as you collaborate to help build and grow our AMS & BPO practice. Specific Responsibilities Your day-to-day activities will include support of AspireHR clients, employees, and contractors. Handle incoming phone and email customer support requests Troubleshoot HCM and related IT and HR systems. Examples include but are not limited to: o Time and Attendance o Onboarding o Payroll o Policy Assistance Provide comprehensive solutions with exceptional customer service and client engagement Provide general process guidance and payroll assistance related to the Client's policies Assist the onboarding of client new hires thru system navigation and policy questions Ensure efficient coordination, prioritization and resolution of support requests in compliance with SLAs Proactively communicates support status to client Escalate or engage additional resources to resolve support requests as needed Learn from and working with an amazing team of brilliant people Be a frontline representative for our IT service desk organization and the first person the company relies on for help Document all client interactions and troubleshooting measures taken into the ITSM tool of record Assist in the development and documentation of support solutions for input into our knowledge management system Key Selection Criteria Customer service experience with demonstrated ability to resolve issues and create a positive interaction Ability to execute assignments and demonstrate value added contributions Understand and familiar with general IT, HR and business process terminology Demonstrated ability to troubleshoot independently with logic and intellect Experience with Human Resources and Payroll related roles and support preferred Prior experience working with SAP SuccessFactors or ERP/HCM Cloud software preferred Prior experience working on a support team with ITSM tools preferred Proficient with Office365 andTeams Prior experience working on IT and/or business application support teams ITIL foundations, SAP, AWS experience or related certifications desired Associates or Bachelor's degree in IT related field preferred Analytical with a passion to research and identify solutions Culture Authentic - This is a genuine culture where people bring their real, whole selves to the office and their clients. We operate in a customer-centric culture, not an ego-centric culture. Inspirational & Passionate - We orchestrate a competitive and compelling mission with an aligned set of values, goals, and a winning strategic path. High learning agility - We place high trust in our employees to make hundreds of decisions daily and know when to zoom-in and zoom-out on any number of topics, and quickly learn to scale themselves as the company grows. Keep it simple. Integrity - Live the values of the company. Employees First - AspireHR is known for its ability to outperform the competition because of our exceptional talent. We seek candidates that display a servant/leader mentality. Personal / Professional Attributes Foster a mindset that contributes to maintenance and further development of client support excellence Excited to join an agile, cutting edge and fast paced growing company Self-starter that is willing to jump in and learn new areas Collaborative and positive attitude Good interpersonal skills with the ability to work effectively and build meaningful partnerships with others Strong background of integrity and trust Strong and effective communication style with team members, customers, and leaders, both written and verbal At AspireHR, we put our employees first in everything we do. We are proud to celebrate and support our differences by being an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or any other basis covered by appropriate law. PI5-