6 jobs found

Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary: Our team designs and builds models that directly shape the user experience - powering personalization and engagement across our Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work - not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations. Responsibilities and Duties of the Role: Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis Required Education, Experience/Skills/Training: Basic Qualifications 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience 5+ years writing production-level, scalable code (Python, SQL) 3+ years of experience developing algorithms for deployment to production systems In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate Strong written and verbal communication skills Preferred Qualifications MS or PhD in statistics, math, computer science, or related quantitative field Production experience with developing content recommendation algorithms at scale Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases Experience with: AWS, Databricks Required Education Bachelor's Degree in Computer Science, Math, Statistics, or related quantitative field The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Santa Monica, CA is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary: Our team designs and builds models that directly shape the user experience - powering personalization and engagement across our Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work - not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations. Responsibilities and Duties of the Role: Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis Required Education, Experience/Skills/Training: Basic Qualifications 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience 5+ years writing production-level, scalable code (Python, SQL) 3+ years of experience developing algorithms for deployment to production systems In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate Strong written and verbal communication skills Preferred Qualifications MS or PhD in statistics, math, computer science, or related quantitative field Production experience with developing content recommendation algorithms at scale Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases Experience with: AWS, Databricks Required Education Bachelor's Degree in Computer Science, Math, Statistics, or related quantitative field The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Santa Monica, CA is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

We are seeking a User Researcher for a Hybrid position with our Sacramento, California client. The User Researcher who will be responsible for planning, conducting, and synthesizing user research to inform digital product strategy, service design, and enterprise modernization initiatives. This role partners with Human-Centered Design (HCD) teams, Product Managers, UX/UI Designers, Business Analysts, Developers, and stakeholders to identify user needs, validate design concepts, and generate actionable insights that drive product roadmap priorities. The User Researcher ensures product decisions are grounded in evidence-based research, accessibility best practices, and the needs of diverse user populations. Key Responsibilities Plan and execute qualitative and quantitative user research throughout the product lifecycle. Conduct user interviews, contextual inquiries, surveys, usability testing, focus groups, and observational research. Analyze research findings and translate insights into actionable product roadmap recommendations. Develop personas, customer journey maps, empathy maps, and other Human-Centered Design (HCD) artifacts. Translate user research findings into product requirements and design recommendations. Establish UX success metrics and benchmarks to evaluate current and future-state experiences. Conduct remote moderated and unmoderated usability testing using industry-standard platforms. Collaborate with Product Managers, UX/UI Designers, Business Analysts, Developers, and stakeholders. Ensure research incorporates accessibility and inclusive design principles. Present research findings to executive leadership, business stakeholders, and technical teams. Support Agile product teams with continuous user feedback throughout development. Maintain research repositories, documentation, and best practices. Minimum Qualifications Education Bachelor's degree required. Required Experience Minimum two (2) successfully completed projects (defined as projects that have achieved full implementation and are operationally complete) demonstrating experience deriving product roadmap priorities from user research data. Preferred Qualifications Experience conducting user research with diverse and vulnerable populations, including non-English speakers, individuals with disabilities, and senior citizens. Experience establishing UX benchmarks such as System Usability Scale (SUS), Time-on-Task, and similar usability metrics. Experience using remote unmoderated user testing platforms such as UserTesting, Optimal Workshop, or similar tools. Experience conducting research within Agile or SAFe environments. Experience supporting enterprise digital transformation or government modernization initiatives. Knowledge of accessibility standards, inclusive design principles, and WCAG guidelines.

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 title: Content Strategist (2-Month Contract and Fulltime) Location: United States - Remote Duration: 2 Month Contract and Fulltime Pay: $45.00 - $48.00/hr Requirements: 5+ years of experience in Content Strategy, UX Writing, or Digital Content Experience developing digital content strategies and user journeys Strong knowledge of SEO, UX writing, and accessibility standards Healthcare industry experience is a plus Job Responsibilities: Develop and execute digital-first content strategies for client website, serving care seekers, healthcare professionals, and researcher audiences. Create, update, and optimize content across the digital experience, ensuring it is clear, accessible, user-centered, and aligned with organizational goals. Partner across Marketing and Communication teams to shape user journeys within new and evolving digital experiences. Craft high-impact content, including messaging frameworks, headlines, body copy, microcopy, and calls to action that drives engagement and supports user needs. Lead and contribute to content testing initiatives, including A/B testing and content experimentation, to improve user experience. Use qualitative and quantitative data, user research, and analytics to inform content strategy, decision-making, and continuous optimization. Apply SEO best practices, content governance standards, and UX principles to improve discoverability and usability. Help establish and evolve content standards, best practices, and scalable approaches across digital properties. Required Skills & Experience: Five to seven (5-7) years of experience in content strategy, content design, UX writing, digital content creation, or related field. Experience developing content strategies and translating business, user, and organizational goals into effective digital experiences. A demonstrated ability to work independently, manage complex projects with minimal oversight, and seamlessly shift between big-picture strategic planning and detail-oriented content development. Familiarity with content testing methodologies, analytics, and performance measurement platforms. Strong understanding of SEO best practices, UX writing, and accessibility standards, and how they influence content strategy and creation. Exceptional written and verbal communication skills, with the ability to adapt content for different audiences and channels. An understanding of user-centered design principles and how content can solve user experience challenges. Experience collaborating with cross-functional teams, including designers, developers, marketers, product managers, and subject matter experts. Healthcare experience is a plus Strong organizational skills with the ability to manage multiple priorities and deliver high-quality work in a fast-paced environment. Required Education: High school diploma or GED. Preferred Education: Bachelor's Degree.

Principal Product Designer (UX) Location: Fort Worth, TX (Hybrid - Tuesday through Thursday onsite, Remote Monday & Friday) Duration: Long-Term Contract (12 months to start) + High Conversion Potential Pay: $75.00-80.00/hour W2 + Benefits We're seeking an experienced Principal Product Designer to join a cross-functional product team focused on creating intuitive, user-centered experiences across native mobile and enterprise applications. This role partners closely with Product, Engineering, and business stakeholders to drive the UX process from discovery and research through implementation. Responsibilities Lead end-to-end product design across native iOS, Android, and enterprise applications. Partner with Product Owners, Engineering, and cross-functional teams to define user stories and UX deliverables. Influence product and design decisions through UX best practices, user research, and data-driven insights. Design user flows, information architecture, wireframes, visual mockups, prototypes, and interaction patterns. Develop and maintain UX specifications, documentation, and design patterns. Conduct usability testing, user interviews, heuristic evaluations, and other UX research activities. Present design concepts and recommendations to stakeholders while incorporating feedback throughout the design process. Collaborate closely with developers to ensure successful implementation of design solutions. Manage multiple initiatives while communicating project status, risks, and timelines. Qualifications 5+ years of experience in Product Design, UX Design, Interaction Design, or a related discipline. Experience designing native iOS and Android applications. Strong portfolio demonstrating end-to-end product design experience. Experience working closely with Product and Engineering teams in Agile environments. Strong understanding of user-centered design principles, information architecture, interaction design, accessibility, and responsive design. Experience planning and conducting qualitative and quantitative UX research. Proficiency with modern design and prototyping tools, including Figma and Adobe Creative Cloud. Excellent communication, presentation, and stakeholder management skills. Bachelor's degree in Human-Computer Interaction, Human Factors, Computer Science, Visual Design, or a related field, or equivalent experience. Portfolio and LinkedIn profile are required for submission. Work Authorization: Must be authorized to work in the United States without current or future sponsorship. Please Note: This opportunity is available on a W2 basis only. C2C, third-party vendors, and sponsorship are not available. About PTR Global PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5,000 professionals providing services across the U.S. and Canada. Pay Range: $75.00-80.00/hour The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, 401(k) contributions, PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. At PTR Global, we understand the importance of your privacy and security. We never ask job applicants to pay fees, purchase products or gift cards, or provide banking information before accepting an offer and completing our official onboarding process. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click any links. Instead, contact us directly at +1 or .