Senior Data Scientist jobs at The Walt Disney Company

Sky Solutions is a trusted partner in government contracting, empowering federal agencies with cutting-edge IT solutions. Our expertise spans AI-first enablement, delivering innovative solutions and advanced cybersecurity, fortifying digital ecosystems against emerging threats and digital transformation through low-code/no-code development, cloud solutions, and agile methodologies. We simplify complex processes and deliver breakthrough results for federal clients across healthcare, financial services, and national security. Title: Data Analyst - Enterprise Data Platform Location: Tysons Corner, VA (Hybrid) Employment Type: Full-Time Overview We are seeking a Data Analyst to support data product design, requirements gathering, and analytical validation for a cloud-based enterprise data platform. This role will work across engineering, product, and business teams to ensure data is accurate, usable, and aligned with enterprise standards. Responsibilities Work closely with business stakeholders to gather analytical requirements. Document data definitions, mappings, lineage, and transformation logic. Profile source system data and identify gaps or quality issues. Validate data products and support UAT. Develop reports, dashboards, or queries to support data validation and insights. Support metadata, cataloging, and documentation efforts. Collaborate with engineers to ensure pipeline outputs meet specifications. Translate business questions into meaningful data insights. Required Qualifications Bachelor's degree in Analytics, Information Systems, or related field. 3+ years of data analysis experience in cloud or enterprise environments. Strong SQL skills and experience analyzing large datasets. Experience working with BI tools (Tableau, Power BI, QuickSight, etc.). Ability to write clear requirements, mapping documents, and test plans. Strong understanding of data lineage, quality, and governance concepts. Preferred Qualifications Experience with UDM or other enterprise modelling frameworks. Familiarity with Snowflake, dbt, or AWS analytics services. Experience with data quality tools or cataloging platforms.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to work towards their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description Experian is looking for an experienced Senior AI Data Scientist to join our Analytic Innovations group. This individual contributor role will focus on developing agentic AI solutions and advanced marketing analytics models that move strategic decision-making across the consumer credit lifecycle. You will have deep technical expertise in coding intelligent agents, experience in marketing analytics for consumer lending products with modeling knowledge plus experience applying AI to real-world challenges in financial services. This is a fully remote position. You will report to the VP of Analytics Consulting. You'll have opportunity to: Design, code and test AI agents that support autonomous decision-making in marketing campaigns, customer acquisition, and portfolio optimization. Apply hands-on coding knowledge to create agentic AI techniques to solve complex business problems in consumer lending. Conduct exploratory data analysis and develop predictive models using credit bureau data and other consumer datasets. Prototype and improve on intelligent agent behaviors using Python, Spark and modern agentic frameworks. Support the deployment and monitoring of AI models in production environments, ensuring performance, reliability and compliance. Collaborate with company partners to translate our requirements into scalable AI solutions. Contribute to the development of new analytical products and services that enhance marketing effectiveness and customer engagement. Qualifications Expertise in advanced Python programming, including experience with data manipulation, modeling and deployment in cloud environments. Proficient in using big data platforms for scalable analytics and deployment Hands-on experience building agentic AI frameworks or tools, including autonomous agents Experience with cloud-based data platforms and production-grade ML deployment. 5+ years of experience in consumer lending marketing analytics; including an understanding of consumer credit data and marketing analytics methodologies Additional Information Benefits/Perks: Competitive compensation package and bonus plan Core benefits including medical, dental, vision, and matching 401K Flexible work environment, ability to work remote, hybrid or in-office Flexible time off including volunteer time off, vacation, sick and 12-paid holidays Explore all our exciting benefits here: ************************************************ At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to work towards their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Experian is looking for an experienced Senior AI Data Scientist to join our Analytic Innovations group. This individual contributor role will focus on developing agentic AI solutions and advanced marketing analytics models that move strategic decision-making across the consumer credit lifecycle. You will have deep technical expertise in coding intelligent agents, experience in marketing analytics for consumer lending products with modeling knowledge plus experience applying AI to real-world challenges in financial services. This is a fully remote position. You will report to the VP of Analytics Consulting. You'll have opportunity to: + Design, code and test AI agents that support autonomous decision-making in marketing campaigns, customer acquisition, and portfolio optimization. + Apply hands-on coding knowledge to create agentic AI techniques to solve complex business problems in consumer lending. + Conduct exploratory data analysis and develop predictive models using credit bureau data and other consumer datasets. + Prototype and improve on intelligent agent behaviors using Python, Spark and modern agentic frameworks. + Support the deployment and monitoring of AI models in production environments, ensuring performance, reliability and compliance. + Collaborate with company partners to translate our requirements into scalable AI solutions. + Contribute to the development of new analytical products and services that enhance marketing effectiveness and customer engagement. + Expertise in advanced Python programming, including experience with data manipulation, modeling and deployment in cloud environments. + Proficient in using big data platforms for scalable analytics and deployment + Hands-on experience building agentic AI frameworks or tools, including autonomous agents + Experience with cloud-based data platforms and production-grade ML deployment. + 5+ years of experience in consumer lending marketing analytics; including an understanding of consumer credit data and marketing analytics methodologies Benefits/Perks: + Competitive compensation package and bonus plan + Core benefits including medical, dental, vision, and matching 401K + Flexible work environment, ability to work remote, hybrid or in-office + Flexible time off including volunteer time off, vacation, sick and 12-paid holidays + Explore all our exciting benefits here: ************************************************ At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote

About Us: Live experiences help people cross today's digital divide and focus on what truly connects us - the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most. With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.About the Role We're looking for a highly analytical and business-savvy Senior Pricing Data Scientist to join our Pricing Strategy team. In this role, you'll design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. You'll work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value. This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy, and who is passionate about using data to influence pricing, product design, and long-term business outcomes. Key Responsibilities Model Development & Optimization Design, build, and maintain pricing and demand elasticity models using statistical and machine learning methods. Leverage behavioral, transactional, and marketplace data to optimize price points, discount strategies, and product bundling. Develop tools to support scenario modeling, revenue forecasting, and price testing simulations. Experimentation & Testing Design A/B and multivariate experiments to test pricing changes, discount strategies, and offer configurations. Analyze test results with statistical rigor, including significance testing, confidence intervals, and causal inference techniques. Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments. Insight Generation & Strategy Support Conduct in-depth analyses of customer willingness to pay, price sensitivity, and competitor pricing strategies. Deliver insights on monetization opportunities, marketplace dynamics, and revenue optimization levers. Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence. Cross-functional Collaboration Collaborate closely with Product Managers, Engineers, and Revenue teams to embed pricing intelligence into user experiences. Translate complex technical findings into actionable business recommendations for stakeholders across the org. Contribute to roadmap planning, strategic decision-making, and post-launch pricing reviews. What You Bring Required Qualifications 5+ years of experience in data science, pricing analytics, or quantitative strategy roles. Advanced proficiency in Python or R, SQL, and statistical modeling techniques. Strong experience with A/B testing frameworks and causal inference methods (e.g., regression, matching, difference-in-differences). Solid understanding of pricing theory, elasticity modeling, and optimization. Skills & Attributes Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses. Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences. Self-starter with a passion for experimentation and continuous improvement. Preferred Degree in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative discipline (Master's or PhD preferred). Experience in a consumer-facing marketplace, e-commerce, or SaaS environment. Familiarity with tools such as Looker, Amplitude, dbt, or in-house experimentation platforms. Why This Role Matters Your work will help define how we price, scale, and monetize our products. By bringing science and experimentation to our pricing approach, you'll directly impact revenue growth, customer satisfaction, and strategic decision-making. What We can Offer: Flexible PTO Competitive salary & equity package Monthly Gametime credits for any event ($1,200/yr) Medical, dental, & vision insurance Life insurance and disability benefits Diverse Family-forming benefits through Carrot Fertility 401k, HSA, pre-tax savings programs Company off-sites and meet-ups Wellness programs Tenure recognition At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range$140,718-$165,550 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

ASTM International is a globally recognized leader in the development and delivery of international voluntary consensus standards. Today, some 12,000 ASTM standards are used around the world to improve product quality, enhance safety, facilitate market access and trade, and build consumer confidence. ASTM provides an excellent compensation and benefits package including: Undergraduate and Graduate Tuition Reimbursement Comprehensive medical, dental, vision, life and disability insurance Paid holidays, vacation and sick leave 403(b) plan with company match 100% company-funded defined benefits pension plan Summary of Position ASTM is advancing solutions for the rapidly evolving landscape of advanced manufacturing, with a focus on Industry 4.0 and digital transformation. We collaborate with industry, government, and academia to accelerate standards development, workforce training, and certification programs that address emerging challenges and expanding responsibilities in these fields. Building on successful initiatives in areas such as additive manufacturing and Exo Technologies-where ASTM established centers of excellence to speed technology adoption-we are now developing a Data Commons for materials and manufacturing data. This platform will build on the best practices and guidelines for the generation and management of high-pedigree data that have been developed under our Consortium for Materials Data and Standardization (CMDS) program. The Data Commons will curate, structure, and organize high-quality, standardized, AI-ready datasets to drive innovation, enhance product development, and support next-generation manufacturing intelligence. We are seeking a Senior Data Scientist to help architect the development of our data lake and lead the efforts to develop standard data models and AI-ready pipelines. This individual will play a critical role in shaping the core technical infrastructure for our data services. Responsibilities • Provide input on the overall architecture for the ASTM data commons. • Develop and implement standard ontologies, taxonomies, and schemas for organizing diverse data types (e.g., experimental data, manufacturing processes, performance results, metadata) and ensure interoperability across datasets. • Define contributor-facing data models and ingestion schemas that enable external partners and data providers to submit data consistently into the commons. • Establish scalable frameworks for ingesting, cleaning, curating, and storing materials and manufacturing data. • Build models to represent relationships across materials, processes, and performance outcomes. • Create robust pipelines to prepare AI-ready datasets for customer use. • Design data structures optimized for machine learning and analytics applications. • Collaborate with ML engineers and domain experts to identify key data features and metadata critical for downstream AI use cases. • Define data quality, provenance, and versioning standards. • Ensure compliance with relevant data privacy and IP frameworks. • Work cross-functionally with product and engineering domain experts. • Identify and establish strategic relationships with relevant industry organizations, trade associations, and professional societies to provide ASTM opportunities for leadership in data standardization activities with market relevance. • Provide technical leadership on data science and architecture best practices and mentor engineers as the team grows. Minimum Qualifications • Bachelor's degree in computer science, engineering, data science, materials informatics, applied mathematics, or relevant field. • 7+ years in data science, data architecture, or related roles. • Proven hands-on experience designing and implementing large-scale data lakes and schemas. • Strong background in data modeling, ontology design, and schema development. • Proficiency in Python, SQL, and distributed data systems. • Experience working with scientific data formats (HDF5, NetCDF, CSV/JSON metadata-rich structures, etc.). • Experience with ML pipelines and preparing structured/unstructured data for AI. • Familiarity with manufacturing processes, inspection methods and materials science. • Excellent communication and organizational skills • Project management experience • Proven ability to work in a team with good interpersonal skills • Self-starter with exceptional attention to detail and ability to work remotely Preferred Qualifications • Advanced degree in Computer Science, Engineering, Data Science, Materials Informatics, Applied Mathematics, or related field. • 12+ years in data science, data architecture, or related roles. • 5+ years domain experience in materials and manufacturing applications. • Demonstrate experience of leading & managing technical projects • Experience in standards development and participation in technical committees Travel Requirements: 25%

We are seeking a Senior Data Scientist specializing in Natural Language Processing (NLP) and modern retrieval-augmented generation (RAG) architectures to join our Life Sciences & Healthcare (LS&H) team. This is an amazing opportunity to work on large-scale AI-enabled solutions that modernize and enhance our content delivery systems. You'll be at the intersection of innovation, architecture, and real-world AI integration. The team consists of several domain and technical experts and reports to the VP of AI, Content. We would love to speak with you if you have deep expertise across text processing pipelines including indexing, vectorization, prompting, fine-tuning, summarization and context management and bring hands-on experience with frameworks like LangChain and LangGraph. Familiarity with architectures such as VRAG and GraphRAG is highly desirable. About You - Experience, Education, Skills, and Accomplishments Bachelor's degree in Computer Science, Data Science, Computational Linguistics, or a related field At least 5 years of hands-on experience in data science, focused on natural language processing (NLP) At least 5 years of experience using Python, with expertise in NLP libraries such as LangChain, LangGraph, or other “Lang”-based toolkits Proven experience in model development and applying machine learning techniques to real-world problems It would be great if you also had: Expertise in retrieval-based LLM workflows (RAG, VRAG, GraphRAG) Deep understanding of embedding models, semantic search, and vector stores (e.g., FAISS, Pinecone) Experience with document loaders and text splitters/document splitting strategies Familiarity with MLOps practices and production-level deployment of AI pipelines Experience with cloud platforms (e.g., AWS, Azure, or GCP) Experience applying Graph Neural Networks (GNNs) to retrieval-enhanced generation Knowledge of LangSmith and vector orchestration platforms Familiarity with multilingual NLP and cross-lingual embeddings Exposure to real-time knowledge graphs and stream-based RAG systems A Master's or PhD in a technical field (Computer Science, Data Science, etc.) What will you be doing in this role? Design NLP Workflows: Develop scalable pipelines for text ingestion, cleaning, normalization, and tokenization to support downstream applications. Implement Indexing and Vectorization Strategies: Architect and maintain robust indexing systems and vector databases for semantic search and retrieval. Develop Prompting and Finetuning Frameworks: Create reusable prompting strategies and lead fine-tuning initiatives for LLMs tailored to business-specific tasks. Build LangChain/LangGraph Applications: Construct dynamic knowledge systems and agentic workflows using LangChain and LangGraph. Integrate Advanced RAG Architectures: Apply VRAG and GraphRAG design patterns to enrich information retrieval and contextual understanding. Conduct Performance Optimization: Perform benchmark testing and model evaluations to improve accuracy, efficiency, and scalability of NLP systems. Collaborate Across Teams: Work closely with engineering, product, and research stakeholders to deliver integrated AI-driven features. Provide Technical Leadership: Mentor junior data scientists, guide best practices, and drive innovation across AI projects. About the Team This role sits within the Life Sciences & Healthcare (LS&H) segment under the Content Technology team. The team is focused on driving innovation through large-scale AI solutions. You'll work closely with the VP of Content Technology, Solutions Architects, and internal stakeholders who are SMEs and the end users of the platform. This role offers the chance to contribute meaningfully to cutting-edge AI projects that have visibility across leadership teams. The work is focused, impactful, and offers excellent career advancement opportunities in a fast-evolving AI space. Hours of Work Full-time permanent position, primarily working core business hours in your time zone, with flexibility to adjust to various global time zones as needed Fully remote position based in the US Compensation - US Only The expected base salary for this position is $117,000 - $147,000 USD per year. This role is eligible for bonus incentive earnings. Individual pay is based upon experience, education, skill and ability, expertise, and relevant factors. In addition to a competitive remuneration package, you will be eligible to participate in a benefits package that includes medical, dental, prescription drug, life insurance, 401k with match, long term disability coverage, vacation, sick time, volunteer time, discount programs, and many more. At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Overview (Why This Role?) Hearst Magazines is seeking a visionary and hands-on Senior Data Scientist to join our dynamic Data & AI team. In this pivotal role, you will be a key player in architecting and implementing the advanced data models that power personalized user experiences, drive our next-generation advertising products, and provide deep, actionable insights to our world-class editorial and commercial teams. You will tackle complex challenges at the intersection of machine learning, user behavior, and content strategy, with a direct impact on the trajectory of our iconic brands. About Hearst Magazines ( Why Us?) Hearst Magazines' portfolio of more than 30 iconic brands in the U.S.-including Cosmopolitan, ELLE, Esquire, Good Housekeeping, Harper's BAZAAR, and Popular Mechanics - inspires, entertains, and builds new and bold experiences for an engaged and growing audience across digital, video, social and print, reaching nearly 130 million readers and site visitors each month. With sophisticated content creation, cutting-edge technology, and industry-leading data capabilities, we make media and products that move people across all platforms. We are a global media company that publishes nearly 200 magazine editions and 175 websites around the world-and together, we are shaping what's next. Key Responsibilities(What are you doing) Lead and Innovate: Design, develop, and deploy sophisticated machine learning models to address core business challenges, including user segmentation, content recommendation, churn prediction, and lifetime value modeling. Strategic Impact: Partner with product, engineering, editorial, and revenue teams to identify and execute on data science initiatives that drive measurable business outcomes. Full-Cycle Development: Own the end-to-end data science workflow, from hypothesis generation and data exploration to model building, validation, and deployment into production environments. Advanced Analytics: Conduct in-depth exploratory analysis of large, complex datasets to uncover hidden patterns, trends, and opportunities for innovation. Mentorship: Provide guidance and mentorship to junior data scientists and analysts, fostering a culture of technical excellence and collaborative problem-solving. Thought Leadership: Stay at the forefront of advancements in data science and machine learning, and champion the adoption of new technologies and methodologies within the organization. Qualifications (What We're Looking For) Experience: 7+ years of experience in a data science role, with a proven track record ofdeveloping and deploying impactful machine learning models in a production environment. Technical Expertise: Expert proficiency in Python and SQL. Deep understanding of machine learning algorithms (e.g., regression, classification, clustering, NLP) and statistical modeling. Hands-on experience with machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch. Experience with big data technologies (e.g., Spark, BigQuery) and cloud platforms (GCP, AWS). Strategic Mindset: Ability to translate complex business problems into well-defined data science projects and communicate technical concepts effectively to non-technical stakeholders. Leadership: Demonstrated ability to lead projects, mentor junior team members, and collaborate effectively across cross-functional teams. Education: Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline is preferred. Benefits (What We Offer) Work with the Best: Collaborate with top-tier professionals across media, advertising, tech, fashion, lifestyle, and publishing, shaping the future of these dynamic industries. Grow Your Skills: Unlock your potential with access to innovative training programs, immersive workshops, and exclusive industry events. Work-Life Harmony: Enjoy the flexibility of hybrid work, empowering you to balance professional success with personal priorities. Foster Connection & Belonging: Join our Employee Resource Groups and help create a welcoming workplace where everyone feels valued and empowered. Wellness First: Prioritize your well-being with a comprehensive benefits package that includes medical, dental, and vision insurance from Day 1. The base salary for this role is between $149,000-$181,00. The actual base pay offered is dependent upon many factors, such as: transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. Hearst Magazines is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Qualifications Working at Hearst Magazines: Work with the Best: Collaborate with top-tier professionals across media, advertising, tech, fashion, lifestyle, and publishing, shaping the future of these dynamic industries. Grow Your Skills: Unlock your potential with access to innovative training programs, immersive workshops, and exclusive industry events. Work-Life Harmony: Enjoy the flexibility of hybrid work, empowering you to balance professional success with personal priorities. Foster Connection & Belonging: Join our Employee Resource Groups and help create a welcoming workplace where everyone feels valued and empowered. Wellness First: Prioritize your well-being with a comprehensive benefits package that includes medical, dental, and vision insurance from Day 1. Plan for Your Financial Future: Enjoy competitive financial perks, including a 401(k) plan with a generous company match. The base salary for this role is between $149,000 - $181,000. The actual base pay offered is dependent upon many factors, such as: transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. Hearst Magazines is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation. About the Role: Tubi is transforming the future of television with a vast library of free, premium content supported by advertising. We're seeking a curious, strategic, and technically strong Senior Data Scientist to join our growing Data Science team-specifically supporting our Content function. In this high-impact role, you'll help drive smarter content decisions, power personalization strategies, and unlock viewer engagement through data. As a Senior Data Scientist at Tubi, you'll lead end-to-end analytical projects that shape what our viewers see and how they experience our platform. You'll work at the intersection of content strategy, product, marketing, and monetization, bringing a rigorous experimentation mindset and technical expertise to our most critical initiatives. Your work will be crucial in expanding our audience, optimizing our content library, and developing data-driven frameworks that scale with the business. You'll collaborate cross-functionally with content strategy, data engineering, product managers, and executives-ensuring that data and experimentation are deeply embedded in how we choose, evaluate, and present content. This is an exciting opportunity for someone passionate about streaming, thrives in ambiguity, and wants to influence the future of TV through data. What You'll Do: Design, execute, and analyze A/B tests and quasi-experiments that inform content acquisition, placement, and personalization strategies. Apply statistical rigor and causal inference methods to evaluate content performance and viewer engagement at scale. Work with large, complex datasets using SQL, Python, and Spark to uncover actionable insights that drive strategic content decisions. Develop and maintain dashboards, data products, and visualizations that translate data into clear business recommendations. Partner closely with cross-functional stakeholders to influence decisions with thoughtful, transparent, and evidence-based insights. Collaborate with Data Engineering and ML Ops to improve data pipelines, feature engineering, and automation across experimentation workflows. Serve as a thought partner across teams, advocating for best practices in experimentation, measurement, and data strategy. Your Background: 8+ years of experience in a data science, analytics, or quantitative research role, ideally in a consumer technology or media company. Advanced proficiency in SQL, Python, and Spark, with hands-on experience managing and analyzing large-scale, event-level data. Deep understanding of A/B testing, experimental design, and causal inference methodologies. Proven ability to translate data into compelling stories and recommendations for non-technical audiences. Experience with product analytics, content performance measurement, or personalization systems is a plus. Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, or a related field. Experience in video streaming, entertainment, or ad-supported media is highly preferred. #LI-SL4 #LI-Hybrid Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents. High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco$151,800-$216,800 USDToronto, Ontario, Canada$110,800-$158,300 CAD Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits: For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time. For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters. For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX's short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi. For all full-time, regular employees, Tubi offers a monthly wellness reimbursement. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation. About the Role: Tubi is transforming the future of television with a vast library of free, premium content supported by advertising. We're seeking a curious, strategic, and technically strong Senior Data Scientist to join our growing Data Science team-specifically supporting our Content function. In this high-impact role, you'll help drive smarter content decisions, power personalization strategies, and unlock viewer engagement through data. As a Senior Data Scientist at Tubi, you'll lead end-to-end analytical projects that shape what our viewers see and how they experience our platform. You'll work at the intersection of content strategy, product, marketing, and monetization, bringing a rigorous experimentation mindset and technical expertise to our most critical initiatives. Your work will be crucial in expanding our audience, optimizing our content library, and developing data-driven frameworks that scale with the business. You'll collaborate cross-functionally with content strategy, data engineering, product managers, and executives-ensuring that data and experimentation are deeply embedded in how we choose, evaluate, and present content. This is an exciting opportunity for someone passionate about streaming, thrives in ambiguity, and wants to influence the future of TV through data. What You'll Do: Design, execute, and analyze A/B tests and quasi-experiments that inform content acquisition, placement, and personalization strategies. Apply statistical rigor and causal inference methods to evaluate content performance and viewer engagement at scale. Work with large, complex datasets using SQL, Python, and Spark to uncover actionable insights that drive strategic content decisions. Develop and maintain dashboards, data products, and visualizations that translate data into clear business recommendations. Partner closely with cross-functional stakeholders to influence decisions with thoughtful, transparent, and evidence-based insights. Collaborate with Data Engineering and ML Ops to improve data pipelines, feature engineering, and automation across experimentation workflows. Serve as a thought partner across teams, advocating for best practices in experimentation, measurement, and data strategy. Your Background: 8+ years of experience in a data science, analytics, or quantitative research role, ideally in a consumer technology or media company. Advanced proficiency in SQL, Python, and Spark, with hands-on experience managing and analyzing large-scale, event-level data. Deep understanding of A/B testing, experimental design, and causal inference methodologies. Proven ability to translate data into compelling stories and recommendations for non-technical audiences. Experience with product analytics, content performance measurement, or personalization systems is a plus. Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, or a related field. Experience in video streaming, entertainment, or ad-supported media is highly preferred. #LI-SL4 #LI-Hybrid Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents. High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco$151,800-$216,800 USDToronto, Ontario, Canada$110,800-$158,300 CAD Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits: For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time. For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters. For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX's short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi. For all full-time, regular employees, Tubi offers a monthly wellness reimbursement. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us - the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.About the Role We're looking for a highly analytical and business-savvy Senior Pricing Data Scientist to join our Pricing Strategy team. In this role, you'll design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. You'll work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value. This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy, and who is passionate about using data to influence pricing, product design, and long-term business outcomes. Key ResponsibilitiesModel Development & Optimization Design, build, and maintain pricing and demand elasticity models using statistical and machine learning methods. Leverage behavioral, transactional, and marketplace data to optimize price points, discount strategies, and product bundling. Develop tools to support scenario modeling, revenue forecasting, and price testing simulations. Experimentation & Testing Design A/B and multivariate experiments to test pricing changes, discount strategies, and offer configurations. Analyze test results with statistical rigor, including significance testing, confidence intervals, and causal inference techniques. Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments. Insight Generation & Strategy Support Conduct in-depth analyses of customer willingness to pay, price sensitivity, and competitor pricing strategies. Deliver insights on monetization opportunities, marketplace dynamics, and revenue optimization levers. Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence. Cross-functional Collaboration Collaborate closely with Product Managers, Engineers, and Revenue teams to embed pricing intelligence into user experiences. Translate complex technical findings into actionable business recommendations for stakeholders across the org. Contribute to roadmap planning, strategic decision-making, and post-launch pricing reviews. What You BringRequired Qualifications 5+ years of experience in data science, pricing analytics, or quantitative strategy roles. Advanced proficiency in Python or R, SQL, and statistical modeling techniques. Strong experience with A/B testing frameworks and causal inference methods (e.g., regression, matching, difference-in-differences). Solid understanding of pricing theory, elasticity modeling, and optimization. Skills & Attributes Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses. Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences. Self-starter with a passion for experimentation and continuous improvement. Preferred Degree in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative discipline (Master's or PhD preferred). Experience in a consumer-facing marketplace, e-commerce, or SaaS environment. Familiarity with tools such as Looker, Amplitude, dbt, or in-house experimentation platforms. Why This Role Matters Your work will help define how we price, scale, and monetize our products. By bringing science and experimentation to our pricing approach, you'll directly impact revenue growth, customer satisfaction, and strategic decision-making. What We can Offer: Flexible PTO Competitive salary & equity package Monthly Gametime credits for any event ($1,200/yr) Medical, dental, & vision insurance Life insurance and disability benefits Diverse Family-forming benefits through Carrot Fertility 401k, HSA, pre-tax savings programs Company off-sites and meet-ups Wellness programs Tenure recognition At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range$140,718-$165,550 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

About Us Kajabi is in the middle of a once-in-a-decade transformation. After fifteen years, our founders returned to rebuild Kajabi with the same speed, hunger, and grit that sparked the original movement. We're not a corporate SaaS company trying to play it safe - we're a team of builders rewriting the future of the expert economy. Millions of people around the world rely on Kajabi to share what they know and change lives because of it. Our Heroes aren't “customers”… they're everyday entrepreneurs using Kajabi to build freedom for themselves and impact for others. If you want to be part of a company moving fast, raising the bar, and building something that actually matters - welcome in. Senior Data Scientist, Marketing We are seeking a Senior Data Scientist specializing in Marketing Analytics to elevate Kajabi's growth engine through rigorous measurement, attribution, and forecasting. In this high-impact role, you will lead the vision and execution of our marketing data science strategy-empowering Marketing, Growth, and Finance teams with the models, insights, and frameworks needed to make confident, data-driven investment decisions. You will own advanced modeling across attribution, incrementality, media mix modeling (MMM), customer lifetime value analysis, and forecasting to enable Kajabi to deploy marketing spend efficiently and maximize ROI. The Impact you will make Marketing Attribution & Measurement Lead the design, implementation, and maintenance of multi-touch attribution (MTA), incrementality testing, and media mix modeling (MMM) to quantify channel effectiveness and guide investment decisions. Build frameworks to evaluate both paid and organic growth levers (e.g., paid social, paid search, influencer, lifecycle, affiliates, SEO). Advanced Marketing Analytics Develop predictive models for CAC, LTV, and payback windows, partnering closely with Finance to align with revenue goals. Build forecasting models for acquisition, spend efficiency, and conversion funnels. Cross-Functional Partnership Work closely with Marketing, Growth, Finance, and Product to define KPIs and measurement approaches that align to Kajabi's OKRs. Translate complex modeling output into simple, compelling recommendations for senior leadership. Experimentation & Causal Inference Partner with Growth and Lifecycle teams to design and analyze A/B tests, holdout experiments, geo-tests, and uplift modeling. Establish best practices for experimentation, measurement, and statistical rigor across the marketing org. Marketing Data Infrastructure Collaborate with Data Engineering and Analytics Engineering to ensure data pipelines, identity resolution, and event schemas effectively support attribution and marketing analytics workflows. Advocate for clean, scalable datasets powering marketing insights and models. Strategic Influence Serve as the marketing data science thought leader-shaping how Kajabi invests in acquisition, retention, and lifecycle programs. Present forecasts, risks, and recommendations to senior leaders to guide strategic decisions. Qualifications 7+ years in data science or analytics, with deep experience in performance marketing, growth analytics, attribution, or forecasting-preferably in a SaaS or digital subscription business. Technical Skills Expert knowledge of SQL and Python (R optional). Hands-on experience building production-ready models for: Multi-touch attribution Media mix models / regression-based MMM Incrementality / causal inference LTV, CAC, retention, and forecasting Marketing Domain Expertise Strong understanding of digital marketing channels (paid social/search, display, affiliates, lifecycle), conversion funnels, and marketing measurement challenges. Communication & Influence Proven ability to communicate technical concepts to non-technical stakeholders and influence investment decisions. Problem Solving Strong analytical skills with a proactive mindset for identifying growth opportunities and efficiency improvements. Kajabi Team Benefits Package Competitive full-time salary + bonus + equity eligibility Full medical, dental, and vision (company-paid for you + family) 401(k) with 6% match Flexible PTO Fitness + wellness perks Mental health resources In-office lunches, collaboration days, and leadership growth opportunities How We Work Together For this role, we expect regular onsite presence at our Newport Beach, CA office 5 days per week. Pay Range At Kajabi we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. US based applicants only. $130,500- $174,000 + bonus How To Apply Sound like a good fit for you? Click apply, below! Kajabi LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, disability, age, veteran status, or any other basis protected by applicable law.

Sony Pictures Entertainment (SPE) is home to some of the world's most beloved films and television series. From Cobra Kai to The Night Agent, our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We're looking for a Data Scientist with expertise in statistics and advanced machine learning to join our team. You'll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE's production and content distribution businesses. What You'll Do: - Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption. - Build and deploy predictive models and advanced analytics that guide business and creative strategies.- Manage cleansing and feature extraction of large unstructured data and develop insights on top of it- Apply LLMs, prompt engineering, and fine-tuning to tasks such as text analysis, summarization, metadata enrichment, and content tagging- Partner with engineers to productionalize machine learning models and monitor performance.- Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences.- Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions.- Research and test emerging machine learning techniques to keep SPE at the cutting edge. - Champion data-driven decision making within the organization by presenting findings to senior leaders. - Stay at the forefront of data science research and tools, and champion adoption across the ISA team. What We're Looking For: - Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus.- 6+ years of applied experience in data science, analytics, or machine learning.- Proficiency in Python and SQL.- Expertise with statistical modeling and building predictive models.- In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability- Experience with MLOps practices - model lifecycle management, containerization, workflow orchestration (Airflow, Kubeflow).- Familiarity with generative AI (LLMs, prompt engineering, fine-tuning) and open-source frameworks (Hugging Face, LangChain, etc.).- Excellent communication skills - ability to turn complex data into actionable recommendations.- Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: - Experience in the media & entertainment industry.- Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny).- Experience applying GenAI for audience research, recommendation systems, or content insights. Why Join Us: - Shape the future of entertainment - your work will directly influence how audiences around the world discover and enjoy Sony content.- Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges.- Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools.- Enjoy the benefits of working at a global studio while contributing to projects that matter. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers). Description As a Senior Data Scientist at Monks, you'll help shape and deliver cutting-edge data solutions that power intelligent, personalised experiences for some of the world's most influential brands. You'll lead the design, development, and deployment of Machine Learning (ML) and Generative AI (GenAI) solutions that deliver measurable business impact, from predictive audience modelling to agentic automation systems, connecting data, intelligence, and action. You'll work across the full data lifecycle, from ingestion and transformation to model orchestration and real-time activation, building the foundations that enable adaptive, insight-driven experiences at scale You will partner with UX leads, data scientists and creative technologists, bridging the gap between data engineering, applied machine learning, and emerging agentic workflows. You'll define and enforce standards that ensure that data, models, and automation pipelines are scalable, resilient, and fully governed at runtime. You'll shape the technical architecture for AI-driven systems that can reason, act, and learn autonomously across complex digital environments, connecting real-time data, contextual intelligence, and orchestration layers to deliver faster, more adaptive, and continuously improving customer experiences. You bring a solid foundation in modern cloud ecosystems (GCP, AWS, or Azure), data warehousing (BigQuery, Snowflake, etc.), and advanced ETL/ELT orchestration. Your deep understanding of machine learning and automation frameworks enables you to architect and operationalize predictive models, recommender systems, and agent-assisted optimization workflows. This Netherlands-based role supports our Interactive team in delivering data-driven innovation for a major Dutch client. You'll work in a fast-paced, collaborative environment at the forefront of AI, automation, and digital experience design, where your technical expertise helps connect data, creativity, and performance. If you're passionate about engineering intelligence from data and advancing autonomous, adaptive systems, we'd love to meet you. Responsibilities * Lead the design, development, and deployment of advanced Machine Learning (ML) and Generative AI (GenAI) models on cloud platforms such as GCP and AWS, ensuring they are scalable, resilient, and compliant with enterprise standards. * Architect and implement predictive frameworks, including propensity, churn, and recommendation models, translating analytical results into measurable business impact. * Design and operationalise GenAI architectures using APIs (e.g., OpenAI, Gemini, Anthropic) and frameworks like LangChain or LlamaIndex, integrating them into production-grade workflows. * Define data science standards and modelling pipelines, including feature engineering, data versioning, and reproducibility practices using tools such as dbt and Dataform. * Oversee data integration and transformation workflows, automating ingestion and orchestration across APIs, cloud services, and real-time data pipelines. * Establish MLOps best practices for continuous delivery, monitoring, and retraining of models in production environments. * Ensure governance, observability, and documentation across all machine learning assets, adhering to internal standards for reproducibility, ethics, and security. * Design and evaluate experimental frameworks (A/B, multivariate, or causal) to measure model impact, validate hypotheses, and translate insights into actionable optimization strategies. * Inspire and guide data engineers, UX strategists, and creative technologists in translating data and AI into intelligent, human-centered digital experiences. * Communicate complex analytical outcomes through clear visualisations and narratives, influencing technical and non-technical stakeholders alike. Requirements * MSc in a quantitative discipline such as Data Science, Computer Science, Mathematics, Statistics, or a related field. * 4+ years of professional experience applying data science in production environments, ideally across marketing, product, or customer-experience domains. * Proven ability to design, develop, and deploy scalable machine learning and GenAI solutions on cloud platforms such as GCP or AWS. * Experience working in cloud-native data ecosystems, including data warehousing (BigQuery, Snowflake, Redshift) and modelling frameworks such as dbt or Dataform. * Deep understanding of statistical inference, machine learning algorithms, and experimental design, with the ability to translate analytical outcomes into actionable recommendations. * Practical experience integrating APIs and automation frameworks (e.g., LangChain, Airflow, Cloud Functions) for data and AI orchestration. * Familiarity with MLOps principles, including CI/CD pipelines, model versioning, and continuous monitoring in production. * Demonstrated ability to communicate complex concepts clearly to both technical and non-technical stakeholders, influencing strategy and decision-making. * Strong analytical, problem-solving, and collaborative leadership skills, with the ability to mentor others and drive cross-disciplinary innovation. * Professional cloud certification (e.g. Google Cloud Professional Data Engineer or Machine Learning Engineer, AWS Certified Machine Learning - Specialty, or Azure Data Scientist Associate). * Native-level Dutch and fluent in English, both written and spoken. Preferred Requirements: * Experience in consultancy or agency environments, leading end-to-end data science initiatives across multiple clients, industries, and stakeholder ecosystems. * Applied experience with GenAI or LLM-based systems, such as retrieval-augmented generation (RAG), prompt engineering, or embedding-based personalisation. * Familiarity with ML governance and Responsible AI principles, including model monitoring, bias mitigation, and explainability. * Familiarity with marketing and behavioural ioral data, including analytics platforms and media performance data from digital advertising ecosystems. * Understanding of digital marketing and advertising industry practices across client verticals such as retail, finance, and government. * Contributions to the data or AI community (e.g., open-source projects, publications, conference talks) are a strong plus. #LI-FP1 About Monks Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI-managed by the industry's best and most diverse digital talent-to help the world's trailblazing companies outmaneuver and outpace their competition. Monks was named a Contender in The Forrester Wave: Global Marketing Services. It has remained a constant presence on Adweek's Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger's Programmatic Power Players list every year (2020-24). In addition to being named Adweek's first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek's Top 100 Global Most Loved Workplaces 2023. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents-and resonates with-the world around us.

Sony Pictures Entertainment (SPE) is home to some of the world's most beloved films and television series. From Cobra Kai to The Night Agent, our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We're looking for a Data Scientist with expertise in statistics and advanced machine learning to join our team. You'll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE's production and content distribution businesses. What You'll Do: * Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption. * Build and deploy predictive models and advanced analytics that guide business and creative strategies. * Manage cleansing and feature extraction of large unstructured data and develop insights on top of it * Apply LLMs, prompt engineering, and fine-tuning to tasks such as text analysis, summarization, metadata enrichment, and content tagging * Partner with engineers to productionalize machine learning models and monitor performance. * Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences. * Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions. * Research and test emerging machine learning techniques to keep SPE at the cutting edge. * Champion data-driven decision making within the organization by presenting findings to senior leaders. * Stay at the forefront of data science research and tools, and champion adoption across the ISA team. What We're Looking For: * Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus. * 6+ years of applied experience in data science, analytics, or machine learning. * Proficiency in Python and SQL. * Expertise with statistical modeling and building predictive models. * In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability * Experience with MLOps practices - model lifecycle management, containerization, workflow orchestration (Airflow, Kubeflow). * Familiarity with generative AI (LLMs, prompt engineering, fine-tuning) and open-source frameworks (Hugging Face, LangChain, etc.). * Excellent communication skills - ability to turn complex data into actionable recommendations. * Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: * Experience in the media & entertainment industry. * Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny). * Experience applying GenAI for audience research, recommendation systems, or content insights. Why Join Us: * Shape the future of entertainment - your work will directly influence how audiences around the world discover and enjoy Sony content. * Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges. * Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools. * Enjoy the benefits of working at a global studio while contributing to projects that matter. The anticipated base salary for this position is $112K to $146K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Sony Pictures Entertainment (SPE) is home to some of the world's most beloved films and television series. From Cobra Kai to The Night Agent , our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We're looking for a Manager Data Scientist to join our growing team. You'll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE's production and content distribution businesses. What You'll Do: Build and deploy predictive models and advanced analytics that guide business and creative strategies Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption Manage cleansing and feature extraction of large unstructured data and develop insights on top of it Partner with engineers to productionalize machine learning models and monitor performance Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions. Research and test emerging machine learning techniques (e.g., natural language processing, deep learning) to keep SPE at the cutting edge. Champion data-driven decision making within the organization by presenting findings to senior leaders. What We're Looking For: Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus. 6+ years of applied experience in data science, analytics, or machine learning. Strong proficiency in Python and SQL. Experience with A/B testing, statistical modeling, and building predictive models. Familiarity with big data tools and cloud platforms, including MLOps (AWS, GCP, or Azure). Excellent communication skills - ability to turn complex data into actionable recommendations. In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: Experience in the media & entertainment industry. Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny). Experience with building and maintain Directed Acyclic Graphs and/or Docker containers Why Join Us Shape the future of entertainment - your work will directly influence how audiences around the world discover and enjoy Sony content. Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges. Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools. Enjoy the benefits of working at a global studio while contributing to projects that matter. The anticipated base salary for this position is $112K to $146K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Sony Pictures Entertainment (SPE) is home to some of the world's most beloved films and television series. From Cobra Kai to The Night Agent, our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We're looking for a Data Scientist with expertise in statistics and advanced machine learning to join our team. You'll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE's production and content distribution businesses. What You'll Do: • Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption. • Build and deploy predictive models and advanced analytics that guide business and creative strategies. • Manage cleansing and feature extraction of large unstructured data and develop insights on top of it • Apply LLMs, prompt engineering, and fine-tuning to tasks such as text analysis, summarization, metadata enrichment, and content tagging • Partner with engineers to productionalize machine learning models and monitor performance. • Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences. • Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions. • Research and test emerging machine learning techniques to keep SPE at the cutting edge. • Champion data-driven decision making within the organization by presenting findings to senior leaders. • Stay at the forefront of data science research and tools, and champion adoption across the ISA team. What We're Looking For: • Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus. • 6+ years of applied experience in data science, analytics, or machine learning. • Proficiency in Python and SQL. • Expertise with statistical modeling and building predictive models. • In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability • Experience with MLOps practices - model lifecycle management, containerization, workflow orchestration (Airflow, Kubeflow). • Familiarity with generative AI (LLMs, prompt engineering, fine-tuning) and open-source frameworks (Hugging Face, LangChain, etc.). • Excellent communication skills - ability to turn complex data into actionable recommendations. • Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: • Experience in the media & entertainment industry. • Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny). • Experience applying GenAI for audience research, recommendation systems, or content insights. Why Join Us: • Shape the future of entertainment - your work will directly influence how audiences around the world discover and enjoy Sony content. • Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges. • Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools. • Enjoy the benefits of working at a global studio while contributing to projects that matter. The anticipated base salary for this position is $112K to $146K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development * *Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future.* Welcome to Love's: The Lead Data Scientist is a hands-on analytics leader responsible for advancing marketing and customer analytics across Love's convenience store network. This role blends deep technical expertise with people leadership, owning high-impact analytical initiatives that influence revenue growth, customer experience, and marketing effectiveness. Job Functions: Develop deep understanding of Love's business, including products, strategy, customers, and performance, and guide your team in aligning analytics initiatives with business priorities Collaborate with Marketing and other business units to understand needs and design analytical approaches, then lead your team in implementing advanced analytics and machine learning solutions for key domains such as marketing and operations to deliver actionable insights Contribute to the development of enterprise-wide analytics strategy and roadmap, representing the team's perspective Utilize statistical programming languages (R, Python, SAS) to manipulate data and extract insights from large datasets, ensuring team members follow best practices Apply advanced statistical techniques (e.g., A/B testing) and machine learning methods (e.g., time series forecasting, clustering) to solve business problems Supervise and develop a team of data scientists, analysts, and/or analytics engineers by setting goals, managing performance, providing feedback, and fostering a collaborative, high-performing environment Promote best practices in data science methodologies, modeling, experimentation, documentation, and model governance across the team Prioritize team workload and manage delivery timelines in alignment with strategic objectives Identify gaps in measurement and data solutions and lead efforts to recommend and implement improvements that maximize analytics impact Communicate complex insights clearly to stakeholders through presentations, reports, and visualizations, coaching team members on effective storytelling Partner with data engineering to ensure scalable and robust data infrastructure that supports team objectives Stay current with industry trends and emerging tools, introducing innovative techniques into the team's practice Experience and Qualifications: BA/BS minimum, Masters preferred, in a relevant field, such as business analytics, mathematics, statistics, finance, economics, management information systems, computer science, engineering or other quantitative fields. 6+ years of experience preferred in retail, sales, marketing, data, IT, or operations with exposure to reporting and analytics In-depth, hands-on knowledge of data science tools preferred Proven experience with troubleshooting principles and issue resolution technique Skills and Physical Demands: 6+ years of experience querying data from relational databases using SQL, using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities, and extracting insights from large databases, translating data and insights into actionable solutions and presenting findings Competency using R, Python, or other similar statistical software to develop analytical solutions Experience with data wrangling, data cleaning and prep Proven ability to juggle multiple workstreams as needed Data modelling and business analytics experience especially within the retail or marketing domain Excel proficiency including simple formulas and pivot tables Understanding of data warehouse principles and database structures Data visualization skills and ability to present technical solutions to non-technical audience 1+ years of experience with mentoring or leading analytical projects Natural curiosity that welcomes and embraces change and willingness to try new things Excellent written, oral and interpersonal skills Ability to devise an analytical approach to solving business problems Capacity to explain and simplify complex analytics for a wide range of audiences Work effectively within a team-oriented and collaborative environment Keen attention to detail Highly motivated self-starter Must be authorized to work in the U.S. without sponsorship Our Culture: Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture. Love's is an Equal Opportunity Employer. Veterans encouraged to apply. Job Category: Corporate

About Sony Music Entertainment At Sony Music Entertainment, we fuel the creative journey. We've played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We've nurtured some of music's most iconic artists and produced some of the most influential recordings of all time. Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we're committed to artistic integrity, transparency, and entrepreneurship. Sony Music Entertainment is a member of the Sony family of global companies. What you'll do Perform data analysis using SQL/python to identify promising unsigned artists & understand market trends Build big-data ETL pipelines using python Build full stack web applications using the following stack (Nest.js, React.js/Vite, TypeORM/Postgres) Build a mobile application using React Native Assist with digital marketing analysis to determine campaign effectiveness and help determine strategy Who you are 3+ years of experience working with data and development or has a master's degree or higher Experience with SQL, python, and other programming languages and business intelligence tools A powerful blend of analyst and data developer - skilled at both uncovering insights from complex data and building streamlined applications Passionate about the music and entertainment business and have a desire to build a career in the industry Capable of taking direction towards a long-term vision Have a positive attitude What we give you: You join an inclusive, collaborative and global community where you have the opportunity to channel your passion every day A modern office environment designed to foster productivity, creativity, and teamwork empowering you to bring your best An attractive and comprehensive benefits package including medical, dental, vision, life & disability coverage, and 401K + employer matching Voluntary benefits like company-paid identity theft protection and resources for pets, mental health and meditation resources, industry-leading fertility coverage, fully paid leave for childbirth or bonding, fully paid leave for caregivers, programs for loved ones with developmental disabilities and neurodiversity, subsidized back-up child and elder care, and reimbursement for adoption, surrogacy, tuition, and student loans Investment in your professional growth and development enabling you to thrive in our vibrant community. The space to accelerate progress, positively disrupt, and create what happens next Time off for a winter recess Sony Music is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender, gender identity or expression, pregnancy, veteran or military status, marital and civil partnership/union status, alienage or citizenship status, creed, genetic information or any other status protected by applicable federal, state, or local law. California based applicants have certain rights under California law. Please see our California Recruitment Privacy Policy for more details. The anticipated annual base salary does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.California Pay Range$110,000-$130,000 USD

Lead Data Scientist We are seeking a highly experienced and visionary Data Science Lead to join our team. This is a senior-level, management-focused role that requires not only deep technical expertise in data science and machine learning, but also strong leadership capabilities and a strategic mindset. As the Data Science Lead, you will be responsible for driving the data science strategy across the organization. You will work closely with business stakeholders to identify opportunities where data-driven solutions can create value. Your role will be pivotal in bridging the gap between technical teams and business units, ensuring alignment with organizational goals and maximizing the impact of data initiatives. Key Responsibilities: * Manage multiple data science projects from start to finish - handle communications with stakeholders, design the approach, develop or/and oversee development of the models and work closely with machine learning engineers to deploy the code in production * Lead and mentor a team of data scientists, fostering a high-performance and collaborative culture * Define and execute the data science roadmap in alignment with business priorities * Act as a strategic partner to senior business leaders, translating business needs into data science opportunities * Oversee the development and deployment of advanced analytics, machine learning models, and AI solutions * Promote best practices in data science, model governance, and ethical AI * Communicate complex analytical concepts to non-technical stakeholders in a clear and compelling way Qualifications: * Proven experience in a managerial or leadership role within data science or advanced analytics * Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment * Strong business acumen and ability to influence decision-making at the executive level * Expertise in machine learning, statistical modeling, and data engineering * Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) * Strong written and verbal communication skills * Proficiency in both Italian and English is mandatory