Senior Data Scientist jobs at LiveRamp

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

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's commercial division of Machine Learning and Advanced Analytics team is looking for a Data Scientist to support internal and external credit modeling projects. Reporting to the Sr Manager ML and Advanced Analytics, Commercial Data Sciences, you'll work with analytics consultants, external clients, and other project team members to lead modeling projects from beginning to implementation. Responsibilities + Lead end-to-end development of credit risk models, including data sampling, feature engineering, model training, testing, and performance monitoring. + Collaborate with internal consultants in developing custom client credit risk or fraud models. + Support internal generic score and external client validations + Partner with technology teams to bring models to production + Architect and implement LLM-based agents can tool use, memory, and multi-step reasoning. + Integrate agents with internal APIs, databases, and third-party services to promote dynamic decision-making and task execution. + Monitor, evaluate, and improve on agent performance using structured evaluation frameworks. + 3+ years of experience in machine learning, NLP, or predictive modeling + Model development experience using Logistic Regression and ML methods such as Gradient Boosting + Proficiency in Python is a must + Experience with commercial and consumer credit data + You have some experience building RAG pipelines, LLM agents using OpenAI functions and GenAI frameworks (e.g., LangChain, Haystack), along with familiarity with orchestration tools and cloud platforms to support scalable and efficient deployment + Great 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 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 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. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. 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 experience, and education. You will be also eligible for a variable pay opportunity and a comprehensive benefits package. #LI-Hybrid

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.

Making Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet - the world's premier network of independent media agencies - we deliver a suite of digital, technology, and performance marketing services to a global clientele. Our expertise spans digital marketing and MarTech, software and cloud solutions, artificial intelligence, and SaaS, all underscored by a relentless pursuit of innovation. Making Science was ranked 15th in the FT1000: Europe's Fastest-Growing Companies 2023. Committed to making a positive impact, Making Science actively engages in various ESG initiatives. We've joined forces with the Climate Pledge, the United Nations Global Compact, and Pledge1%, dedicating resources and efforts to support non-profit organizations. Through these endeavors, we are committed to driving meaningful change for a brighter, more sustainable future. As part of its commitment to innovation, Making Science offers its clients end-to-end capabilities required for consulting, development, integration, and maintenance of advanced IT solutions. Our global network of delivery hubs not only fosters job growth but also serves as an incubator for cultivating top-tier tech talent, fueling projects that accelerate transformation and modernisation. Our team is composed of digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data. Making Science is People Centric, and we actively bet on our employees! We believe that they are the key to any successful business, and therefore, our greatest asset. We strive to provide daily learning opportunities for those who work with us and their colleagues. It is also really important that they enjoy what they do, and have positive experiences. We want our employees to feel proud of their accomplishments, and that they belong to a company that is in constant growth, because each person's contribution is essential to achieve our success. Do you want to be part of this great family? Some details about your department The Data Science team will focus on designing and building our Digital Marketing Solutions that leverage data science technologies and techniques. Additionally the team will ensure that data science practices are shared and common where possible across the Data Science Products and Customer Delivery functional areas. The Data Science will merge product management, business analytics and data science to drive continuous improvement of the org's overall analytical capabilities and ability to generate actionable insights at scale. What we'd like you to do The Data Scientist MMM is a hands-on data science role that builds, maintains, and validates statistical marketing mix models to quantify the effectiveness of a client's marketing investments. This role is responsible for the technical core of the MMM process, from data engineering to model deployment and optimization. The ideal candidate has a strong background in econometrics, statistical modeling, and programming while being familiar with advertising and media industry practices. Key Responsibilities: * Data Preparation: Collect, clean, and integrate large, disparate datasets from various sources, including advertising spend, sales, pricing, and external factors (e.g., seasonality, competitor activity). * Model Development: Design and build custom Marketing Mix Models using advanced statistical techniques like multivariate regression and Bayesian modeling to isolate the incremental impact of each marketing channel. * Model Validation: Conduct rigorous model validation through back-testing and cross-validation to ensure accuracy and robustness. * Technical Implementation: Automate data workflows and model pipelines using programming languages like Python (NumPy, Pandas, Scikit-learn) or R. * Performance Analysis: Analyze and have a deep understanding of media spend (investment and return) to assess and measure the performance of client marketing campaigns. * Research & Development: Stay current with the latest trends in marketing measurement, contributing to the development of new modeling techniques and frameworks. * Collaboration: Work closely with the client-facing team to provide technical support and ensure the model's outputs are well-understood. Ensure model architecture is aligned with core business questions and designed to output metrics that directly address client problematics. What we'd like you to bring * Bachelor's or Master's degree in a quantitative field such as Statistics, Economics, Mathematics, or Data Science. * Proven experience in building and interpreting statistical or econometric models. * Familiarity with MMMs such as Google Meridian or other providers is a plus. * Strong proficiency in Python or R for data analysis and modeling. * Experience with SQL for data extraction and manipulation. * Familiarity with cloud platforms (e.g., AWS, Google Cloud) is a plus. ️Perks of joining us We offer a competitive salary according to your worth and experience. We care about a healthy work-life balance. You can count on having flexible working hours and the possibility to work from home. Health, vision, and dental insurance included. 401k plan with company contribution. The opportunity to meet our international team with our Ambassadors Program. 15 paid days off per year of holidays (plus bank holidays). You will never stop learning with us: subsidized training, free language classes, learning capsules, an e-learning platform, and many more. Feedback is part of our day to day lives. We recognize a job well done through a continuous feedback model. The opportunity to work in a fast-growing company with peers who will challenge you to grow each day.

Making Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet - the world's premier network of independent media agencies - we deliver a suite of digital, technology, and performance marketing services to a global clientele. Our expertise spans digital marketing and MarTech, software and cloud solutions, artificial intelligence, and SaaS, all underscored by a relentless pursuit of innovation. Making Science was ranked 15th in the FT1000: Europe's Fastest-Growing Companies 2023. Committed to making a positive impact, Making Science actively engages in various ESG initiatives. We've joined forces with the Climate Pledge, the United Nations Global Compact, and Pledge1%, dedicating resources and efforts to support non-profit organizations. Through these endeavors, we are committed to driving meaningful change for a brighter, more sustainable future. As part of its commitment to innovation, Making Science offers its clients end-to-end capabilities required for consulting, development, integration, and maintenance of advanced IT solutions. Our global network of delivery hubs not only fosters job growth but also serves as an incubator for cultivating top-tier tech talent, fueling projects that accelerate transformation and modernisation. Our team is composed of digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data. Making Science is People Centric, and we actively bet on our employees! We believe that they are the key to any successful business, and therefore, our greatest asset. We strive to provide daily learning opportunities for those who work with us and their colleagues. It is also really important that they enjoy what they do, and have positive experiences. We want our employees to feel proud of their accomplishments, and that they belong to a company that is in constant growth, because each person's contribution is essential to achieve our success. Do you want to be part of this great family? 📝Some details about your department The Data Science team will focus on designing and building our Digital Marketing Solutions that leverage data science technologies and techniques. Additionally the team will ensure that data science practices are shared and common where possible across the Data Science Products and Customer Delivery functional areas. The Data Science will merge product management, business analytics and data science to drive continuous improvement of the org's overall analytical capabilities and ability to generate actionable insights at scale. 🎯 What we'd like you to do The Data Scientist MMM is a hands-on data science role that builds, maintains, and validates statistical marketing mix models to quantify the effectiveness of a client's marketing investments. This role is responsible for the technical core of the MMM process, from data engineering to model deployment and optimization. The ideal candidate has a strong background in econometrics, statistical modeling, and programming while being familiar with advertising and media industry practices. Key Responsibilities: Data Preparation: Collect, clean, and integrate large, disparate datasets from various sources, including advertising spend, sales, pricing, and external factors (e.g., seasonality, competitor activity). Model Development: Design and build custom Marketing Mix Models using advanced statistical techniques like multivariate regression and Bayesian modeling to isolate the incremental impact of each marketing channel. Model Validation: Conduct rigorous model validation through back-testing and cross-validation to ensure accuracy and robustness. Technical Implementation: Automate data workflows and model pipelines using programming languages like Python (NumPy, Pandas, Scikit-learn) or R. Performance Analysis: Analyze and have a deep understanding of media spend (investment and return) to assess and measure the performance of client marketing campaigns. Research & Development: Stay current with the latest trends in marketing measurement, contributing to the development of new modeling techniques and frameworks. Collaboration: Work closely with the client-facing team to provide technical support and ensure the model's outputs are well-understood. Ensure model architecture is aligned with core business questions and designed to output metrics that directly address client problematics. 🔊 What we'd like you to bring Bachelor's or Master's degree in a quantitative field such as Statistics, Economics, Mathematics, or Data Science. Proven experience in building and interpreting statistical or econometric models. Familiarity with MMMs such as Google Meridian or other providers is a plus. Strong proficiency in Python or R for data analysis and modeling. Experience with SQL for data extraction and manipulation. Familiarity with cloud platforms (e.g., AWS, Google Cloud) is a plus. ✔️Perks of joining us We offer a competitive salary according to your worth and experience. We care about a healthy work-life balance. You can count on having flexible working hours and the possibility to work from home. Health, vision, and dental insurance included. 401k plan with company contribution. The opportunity to meet our international team with our Ambassadors Program. 15 paid days off per year of holidays (plus bank holidays). You will never stop learning with us: subsidized training, free language classes, learning capsules, an e-learning platform, and many more. Feedback is part of our day to day lives. We recognize a job well done through a continuous feedback model. The opportunity to work in a fast-growing company with peers who will challenge you to grow each day.

RAPP Los Angeles is looking for a Data Scientist to join our award-winning Marketing Sciences team. WHO WE ARE: We are RAPP - world leaders in activating growth with precision and empathy at scale. As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual's needs, beliefs, behaviors, and aspirations. We foster an inclusive workplace that emphasizes personal well-being. HOW WE DO IT: At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning. Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it - ensuring we're able to activate authentic customer connections for our clients. Part of Omnicom's Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets. YOUR ROLE: We are seeking a highly skilled Data Scientist with deep expertise and understanding in statistical methods, machine learning models, Retrieval-Augmented Generation (RAG) architectures and neural networks. The ideal candidate will play an important role in researching, developing, and deploying advanced AI/ML solutions that drive business impact. Under the direction of the Director, Data Science, the Data Scientist will work cross-functionally to solve complex problems and deliver innovative, production-grade models. RESPONSIBILITIES: * Analyzes large and small internal and external datasets to extract actionable insights * Develop statistical/ machine learning models to drive targeting, messaging and strategic decision-making, which may include and is not limited to: * Marketing Mix (MMM) and Marketing Attribution (MTA) models * Profile-based, Behavioral, LTV and other customer segmentation models * Response, look-alike, loyalty, net lift and other sales models * Survival Analysis, In-market and other timing models * Leads, sales and other KPI forecasting models * Support iteration and feature enhancement of existing models * Create new or challenger models with methods, data, and/or tools that are currently not in production. * Aid in code standardization, review, and versioning to increase efficiency and streamline process * Collaborate with other disciplines to explain insights around statistical output that helps describe the targeting group, consumer, or model tier to non-technical audiences REQUIREMENTS: * Master's degree in computer science, Data Science, , Statistics, Mathematics, Economics, or related discipline * 1-2 years' experience applying statistical -mathematical analysis and/or analytics-based programming to model, forecast and/or answer tactical and strategic questions. * Working knowledge of database marketing principles, and databases and structure * Proficient in Python. * Familiarity with AI/Neural Networks. * Ideal candidate will have some experience with SparkML and/or other programming languages and API packages * Strong written and verbal communication skills Our hybrid work model: RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like. RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit ************************ A reasonable estimate of the salary for this role, at the time of posting, is $85,000 - $93,500. This range is specific to Los Angeles and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply. "As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status." NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.

Campus is on a mission to accelerate the talent of tomorrow and reimagine what college can (and should) be. The problem is clear: college costs have skyrocketed, but outcomes haven't. Traditional college hasn't kept up with the aspirations of today's students-and they can't afford to wait. At Campus, we've built a two-year, accredited college where students learn from top professors at universities like Princeton, Stanford, and Howard, in live, online classes. Our students graduate with in-demand business and AI skills-ready to launch their careers or transfer to top four-year universities. Our unique approach is grounded in a pioneering technology platform and a heavily-researched student success model that offers students dedicated advisors and on-demand tutoring and coaching. We were also named one of Fast Company's Most Innovative Companies of 2024. We're backed by an exceptional investor team that believes deeply in our vision for the future of education, including General Catalyst, Founders Fund, Bloomberg Beta, 8VC, Rethink Education, Sam Altman, Jason Citron, Shaquille O'Neal, and others. The world has changed. Higher ed needs to catch up, and we're leading the way - come join us! About the role We are seeking a Staff Data Scientist to help make Campus a world-class data-driven organization. This role requires deep analytical expertise, strong technical acumen, and a strategic mindset to turn data into actionable insights that directly improve student acquisition, engagement, and retention. You'll partner closely with teams across the company to design experiments, build predictive models, and deliver insights that influence key business outcomes. You're excited about this opportunity because you will… Develop a deep understanding of Campus students by creating predictive models for acquisition, admission, enrollment, and retention Build a unified student funnel dashboard integrating marketing, admissions, and retention metrics Identify and execute top opportunities to improve student retention using causal inference and experimentation Design and analyze A/B tests and causal inference frameworks to evaluate new product features and funnel improvements Partner cross-functionally with Marketing, Student Success, and Engineering teams to optimize acquisition and engagement experiments for measurable lift We're excited about you because… You are a strategic thinker who can connect data to key business objectives and communicate insights clearly You have an ownership mindset and thrive in environments where you define scope, drive projects, and deliver results independently You are a collaborative problem solver who enjoys working with both technical and non-technical partners You have a passion for education, experimentation, and growth analytics-and want to use your skills to make a meaningful impact You bring rigor, curiosity, and creativity to every analysis you conduct What you'll get: A compensation package that includes a base salary ($200K-$245K) + equity grant Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary will be localized. Medical, dental, and vision insurance 401(k) match Fertility benefits via Carrot Flexible Time Away + paid holidays In-office lunches for our NY Office (did we mention, we're dog friendly? 🐶) Hybrid work schedule (Mon & Fri remote; Tues-Thurs in-office) Social events - happy hours, birthday celebrations, holiday parties, & more! Opportunity to make an impact - you'll be an integral player in bringing our vision to life Where we're located: Tribeca, NY Unfortunately, we are unable to offer new H-1B visa sponsorship for this position. Candidates must already be authorized to work in the U.S. without requiring new H-1B sponsorship. However, we can support H-1B transfers and are able to sponsor TN visas for eligible Canadian and Mexican citizens.

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. This is a hybrid position based in New York City, with an in-office requirement of four days per week. 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.

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.

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

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.

Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: $10 billion+ generated by creators since Patreon's inception 100 million+ free memberships for fans who may not be ready to pay just yet, and 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Senior Data Scientist to support our mission. This role is based in New York or San Francisco and open to those who are able to be in-office 2 days per week on a hybrid work model. About the Role You'll work in lock step with your cross-functional team to build product features that help creators improve their membership monetization. You'll conduct quantitative research to inform product strategy and opportunities, design metrics to help track goals and make decisions, devise learning methods (including experiments) to test hypotheses, and work closely with our machine learning and data engineering teams on building MVP user-facing data products. You'll translate data into actionable insights and communicate your technical work to the data team, your cross-functional partners, executive leadership, and the rest of the company. You'll be a cultural and technical leader on the data science team. About You Bachelor's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. You have a wealth of experience helping product teams make great decisions with data. You are an experimentation expert and possess a very strong statistical inference skillset. You have solid analytical thinking. You ask the right questions and strive to see beyond the numbers to understand what an analysis represents in terms of real-world applications. You have experience making tradeoffs between speed and accuracy. You are a SQL expert and have experience in Python or R to perform statistical analyses. You have a track record of building strong relationships with product, engineering, research, and design teammates. You have a growth mindset and aspire to continuously improve your soft and technical skills. You are an expert communicator with a love for clarity and simplicity. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: Put Creators First | They're the reason we're here. When creators win, we win. Build with Craft | We sign our name to every deliverable, just like the creators we serve. Make it Happen | We don't quit. We learn and deliver. Win Together | We grow as individuals. We win as a team. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you're excited about a role but your past experience doesn't match with every bullet point outlined above, we strongly encourage you to apply anyway. If you're a creator at heart, are energized by our mission, and share our company values, we'd love to hear from you. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accomodations@patreon. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role's job family. The final offer will be based on candidate's experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon's leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

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 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.

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.