Senior Data Scientist jobs at RELX

Job Responsibilities: Analyze large financial datasets to extract insights and support business decisions. Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation). Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings and recommendations through reports, dashboards, and presentations. Work with data engineers to ensure data quality and pipeline reliability.

A Data Scientist supporting AI/ML and LLM-driven solutions to build, deploy, and optimize advanced models for operational decision-making. Day-to-Day Responsibilities: Design, train, and fine-tune machine learning, deep learning, and LLM models Collect, process, and analyze structured/unstructured datasets Engineer features to improve predictive model performance Develop NLP and LLM-based applications (prompt engineering, fine-tuning, inference) Deploy and monitor ML models using MLOps best practices Build dashboards and presentations to communicate insights Collaborate with stakeholders to translate data insights into business strategy Requirements: Must-Haves: Snowflake, SQL, Palantir (or similar operational AI decision platform) Strong AI/ML and LLM foundation Experience with NLP, deep learning, and predictive modeling Python proficiency and experience with PyTorch, TensorFlow, Hugging Face Strong SQL and data engineering skills AWS experience (SageMaker, S3, Redshift) and ML pipeline automation Nice-to-Haves: Graduate degree in a quantitative field Experience with Power BI, Dash, or Streamlit Benefits: This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility

This role supports a financial services organization by applying advanced data science and machine learning techniques to solve complex business problems using large-scale datasets. The position focuses on end-to-end feature engineering, model development, and writing production-quality code in a fast-paced, collaborative environment. The individual partners closely with product and engineering teams to uncover trends, improve algorithm performance, and drive data-informed decisions. Key Responsibilities Independently analyze and aggregate large, complex datasets to identify anomalies that affect model and algorithm performance Own the full lifecycle of feature engineering, including ideation, development, validation, and selection Develop and maintain production-quality code in a fast-paced, agile environment Solve challenging analytical problems using extremely large (terabyte-scale) datasets Evaluate and apply a range of machine learning techniques to determine the most effective approach for business use cases Collaborate closely with product and engineering partners to identify trends, opportunities, and data-driven solutions Communicate insights, results, and model performance clearly through visualizations and explanations tailored to non-technical stakeholders Adhere to established standards and practices to ensure the security, integrity, and confidentiality of systems and data Minimum Qualifications Bachelor's degree in Mathematics, Statistics, Computer Science, Operations Research, or a related field At least 4 years of professional experience in data science, analytics, engineering, or a closely related discipline Hands-on experience building data science pipelines and workflows using Python, R, or similar programming languages Strong SQL skills, including query development and performance tuning Experience working with large-scale, high-volume datasets (terabyte-scale) Practical experience applying a variety of machine learning methods and understanding the parameters that impact model performance Familiarity with common machine learning libraries (e.g., scikit-learn, Spark ML, or similar) Experience with data visualization tools and techniques Ability to write clean, maintainable, and production-ready code Strong interest in rapid prototyping, experimentation, and proof-of-concept development Proven ability to communicate complex analytical findings to non-technical audiences Ability to meet standard employment screening requirements

Role : Sr. Azure Data Engineer with Databricks Expertise Exp : 12+ We are seeking highly skilled Azure Data Engineer with strong expertise in SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions. Key Responsibilities: 1. Data Pipeline Development: • Build and maintain scalable ETL/ELT pipelines using Databricks. • Leverage PySpark/Spark and SQL to transform and process large datasets. • Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems. 2. Collaboration & Analysis: • Work Closely with multiple teams to prepare data for dashboard and BI Tools. • Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions. 3. Performance & Optimization: • Optimize Databricks workloads for cost efficiency and performance. • Monitor and troubleshoot data pipelines to ensure reliability and accuracy. 4. Governance & Security: • Implement and manage data security, access controls and governance standards using Unity Catalog. • Ensure compliance with organizational and regulatory data policies. 5. Deployment: • Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments. • Manage version control for Databricks artifacts and collaborate with team to maintain development best practices. Technical Skills: • Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.) • Proficiency in Azure Cloud Services. • Solid Understanding of Spark and PySpark for big data processing. • Experience in relational databases. • Knowledge on Databricks Asset Bundles and GitLab. Preferred Experience: • Familiarity with Databricks Runtimes and advanced configurations. • Knowledge of streaming frameworks like Spark Streaming. • Experience in developing real-time data solutions. Certifications: • Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)

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

About the Company Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all - bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact. The Department: Data At Gemini, our Data Team is the engine that powers insight, innovation, and trust across the company. We bring together world-class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists - all working in harmony to transform raw information into secure, reliable, and actionable intelligence. From building scalable pipelines and platforms, to enabling cutting-edge machine learning, to ensuring governance and cost efficiency, we deliver the foundation for smarter decisions and breakthrough products. We thrive at the intersection of crypto, technology, and finance, and we're united by a shared mission: to unlock the full potential of Gemini's data to drive growth, efficiency, and customer impact. The Role: Senior Data Scientist, Machine Learning (Risk) As a Senior Data Scientist focused on Machine Learning for Risk, you'll play a key role in protecting our customers and platform. You'll work cross-functionally with product, engineering, and operations to design and deploy models that detect, prevent, and mitigate fraud risk across Gemini's ecosystem. You'll own the full machine learning lifecycle from identifying fraud signals and engineering features to training, evaluating, and deploying models in production. You'll partner with stakeholders across Trust & Safety, Exchange Growth, and Credit Card to improve risk scoring, detect new fraud patterns, and enhance our ability to distinguish bad actors from trusted customers. This is a high-impact, hands-on individual contributor role. This role is required to be in person twice a week at either our San Francisco or New York City, NY office. Responsibilities: Analyze large, complex datasets to identify key fraud indicators and engineer predictive features using internal and external data sources. Design, train, and deploy machine learning models to identify and prevent fraud, including payment fraud, account takeovers, and identity abuse. Build and maintain end-to-end data and model pipelines for risk scoring, anomaly detection, and behavioral profiling. Evaluate model performance through experiments, backtesting, and continuous monitoring to improve capture rates and reduce false positives. Stay current on emerging fraud tactics and machine learning approaches to continually evolve Gemini's defenses. Minimum Qualifications: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. 5+ years of experience (3+ years with PhD) applying data science and machine learning to financial, payments, or fraud-related problems. 1+ years of experience developing, deploying, and maintaining production-grade ML models, ideally for real-time or large-scale applications. Strong proficiency in Python and relevant modeling libraries (eg, scikit-learn, xgboost, TensorFlow, PyTorch) and SQL. Experience with data processing and model lifecycle tools such as Databricks, SageMaker, Snowflake, MLflow, or similar. Familiarity with orchestration and data pipeline frameworks (e.g., Airflow, Spark). Excellent communication skills and the ability to translate complex technical concepts into actionable insights. Preferred Qualifications: Master's degree or equivalent experience in a quantitative field. Experience with fraud modelling, risk scoring, or anomaly detection in fintech, banking, or crypto. Familiarity with blockchain data and on-chain analytics for detecting illicit activity. Understanding of model governance, interpretability, and fairness in regulated financial contexts. It Pays to Work Here The compensation & benefits package for this role includes: Competitive starting salary A discretionary annual bonus Long-term incentive in the form of a new hire equity grant Comprehensive health plans 401K with company matching Paid Parental Leave Flexible time off Salary Range: The base salary range for this role is between $140,000 - $200,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data. In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce. At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know. #LI-PA1

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

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

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

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

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

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 realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description We're looking for a Senior Data Scientist with credit analytics experience to develop automated reports, dashboards, and insights across the full credit lifecycle. You'll support underwriting, risk management, portfolio monitoring, and credit performance, while partnering directly with clients to ensure analytics align with their needs. You will report to the VP of Analytics Product Build, Innovation, and Scores. You'll have opportunity to: Build credit risk dashboards, reports, and analytics using Python and Tableau. Analyze the credit lifecycle (underwriting, performance, delinquency, and collections) to identify important insights. Develop and automate reporting pipelines and monitoring frameworks. Translate analytics into strategies for risk, business, and client teams. Perform deep‑dive analyses on credit behavior, defaults, and scoring models. Present insights to clients in clear, applicable formats. Guide clients in using dashboards and analytics for decision‑making. Ensure data quality, accuracy, and compliance with reporting standards. Improve existing reporting and build new analytics for better forecasting and risk assessment. Mentor junior team members on visualization, reporting, and credit analytics. Be a trusted advisor in client meetings, presentations, and workshops. Qualifications 5+ years in credit risk analytics, data science, or BI with credit lifecycle focus. Python skills (Pandas, NumPy, SQLAlchemy, and Matplotlib). Proficient in Tableau dashboarding and data visualization. Experience with credit risk metrics, loan performance, and lifecycle modeling. Experience with large datasets and data warehouse environments. SQL for ETL and automated reporting. Clear communicator, able to simplify complex insights. Client‑facing experience translating analytics into strategies. Background in financial services, FinTech, or lending. Experience with ML models for credit risk. Familiarity with regulatory reporting in credit/lending. Bonus: Knowledge of Power BI or Looker. Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. 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.

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 realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description We are looking for an experienced Senior Data Scientist to join our Alternative Financial Services (AFS) department, supporting clients in the non‑prime and near‑prime lending markets. You'll design custom analytics, credit strategies, and machine‑learning models using both traditional and alternative data. This is a client‑facing, solution‑oriented role requiring technical depth and the ability to convert complex analyses into practical, applicable recommendations. You will report to the VP of Analytics Product Build, Innovation, and Scores. You'll have opportunity to: Lead custom analytics and modeling engagements from scoping through delivery and ongoing support. Develop credit strategies and ML models (underwriting, line assignment, pricing, early warning, collections). Engineer features from alternative, transactional, and bureau data (e.g., recency, frequency, volatility, trend, and behavioral metrics). Evaluate and integrate third‑party/alternative data sources (sub‑prime bureaus, cash-flow, telco, utility, and specialty data). Conduct segmentation, lift analysis, and champion/challenger testing to assess performance and incremental value. Develop custom scorecards, policy rules, and ML models aligned with each client's risk appetite and regulatory requirements. Partner with clients to build end‑to‑end credit strategies that balance approvals, losses, efficiency, and customer experience. Deliver clear, executive‑ready insights, documentation, and strategy recommendations. Present results directly to risk leaders, analytics teams, and senior client partners. Support model implementation, monitoring, stability analysis, and ongoing optimization. Work cross‑functionally with Product, Engineering, and Sales to align custom solutions with broader AFS capabilities. Contribute to AFS best practices, reusable frameworks, and internal accelerators for non‑prime analytics. Qualifications 5+ years in credit risk analytics, data science, or advanced analytics, with experience in non‑prime or near‑prime lending. Hands‑on modeling experience using alternative data. Proficiency in Python (Pandas, NumPy, scikit‑learn, XGBoost/LightGBM) for feature engineering, modeling, and analysis. Advanced SQL experience working with complex, and imperfect datasets. Experience with non‑prime risk dynamics: thin‑file consumers, volatility, fraud risk, early‑default behavior. Experience with model evaluation (AUC, KS, lift, bad‑rate curves, stability, PSI). Work directly with clients and translate analytics into deployable strategies. Explain complex models in clear business terms. Background in financial services, alternative lending, FinTech, or specialty finance. Experience with AFS data sources (Clarity, FactorTrust, MicroBilt, cash‑flow or specialty bureaus). Familiarity with model governance, explainability, and regulatory considerations in non‑prime lending. Experience deploying or supporting ML models in production environments. Exposure to fraud, identity, or first‑payment‑default (FPD) modeling. Experience mentoring junior data scientists or analysts. Consult, client delivery, or solution‑oriented project experience. Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. 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.

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.

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.

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.

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 realize 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. We're looking for a Senior Data Scientist with credit analytics experience to develop automated reports, dashboards, and insights across the full credit lifecycle. You'll support underwriting, risk management, portfolio monitoring, and credit performance, while partnering directly with clients to ensure analytics align with their needs. You will report to the VP of Analytics Product Build, Innovation, and Scores. You'll have opportunity to: + Build credit risk dashboards, reports, and analytics using Python and Tableau. + Analyze the credit lifecycle (underwriting, performance, delinquency, and collections) to identify important insights. + Develop and automate reporting pipelines and monitoring frameworks. + Translate analytics into strategies for risk, business, and client teams. + Perform deep‑dive analyses on credit behavior, defaults, and scoring models. + Present insights to clients in clear, applicable formats. + Guide clients in using dashboards and analytics for decision‑making. + Ensure data quality, accuracy, and compliance with reporting standards. + Improve existing reporting and build new analytics for better forecasting and risk assessment. + Mentor junior team members on visualization, reporting, and credit analytics. + Be a trusted advisor in client meetings, presentations, and workshops. + 5+ years in credit risk analytics, data science, or BI with credit lifecycle focus. + Python skills (Pandas, NumPy, SQLAlchemy, and Matplotlib). + Proficient in Tableau dashboarding and data visualization. + Experience with credit risk metrics, loan performance, and lifecycle modeling. + Experience with large datasets and data warehouse environments. + SQL for ETL and automated reporting. + Clear communicator, able to simplify complex insights. + Client‑facing experience translating analytics into strategies. + Background in financial services, FinTech, or lending. + Experience with ML models for credit risk. + Familiarity with regulatory reporting in credit/lending. + Bonus: Knowledge of Power BI or Looker. Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. 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.

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 realize 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. We are looking for an experienced Senior Data Scientist to join our Alternative Financial Services (AFS) department, supporting clients in the non‑prime and near‑prime lending markets. You'll design custom analytics, credit strategies, and machine‑learning models using both traditional and alternative data. This is a client‑facing, solution‑oriented role requiring technical depth and the ability to convert complex analyses into practical, applicable recommendations. You will report to the VP of Analytics Product Build, Innovation, and Scores. You'll have opportunity to: + Lead custom analytics and modeling engagements from scoping through delivery and ongoing support. + Develop credit strategies and ML models (underwriting, line assignment, pricing, early warning, collections). + Engineer features from alternative, transactional, and bureau data (e.g., recency, frequency, volatility, trend, and behavioral metrics). + Evaluate and integrate third‑party/alternative data sources (sub‑prime bureaus, cash-flow, telco, utility, and specialty data). + Conduct segmentation, lift analysis, and champion/challenger testing to assess performance and incremental value. + Develop custom scorecards, policy rules, and ML models aligned with each client's risk appetite and regulatory requirements. + Partner with clients to build end‑to‑end credit strategies that balance approvals, losses, efficiency, and customer experience. + Deliver clear, executive‑ready insights, documentation, and strategy recommendations. + Present results directly to risk leaders, analytics teams, and senior client partners. + Support model implementation, monitoring, stability analysis, and ongoing optimization. + Work cross‑functionally with Product, Engineering, and Sales to align custom solutions with broader AFS capabilities. + Contribute to AFS best practices, reusable frameworks, and internal accelerators for non‑prime analytics. + 5+ years in credit risk analytics, data science, or advanced analytics, with experience in non‑prime or near‑prime lending. + Hands‑on modeling experience using alternative data. + Proficiency in Python (Pandas, NumPy, scikit‑learn, XGBoost/LightGBM) for feature engineering, modeling, and analysis. + Advanced SQL experience working with complex, and imperfect datasets. + Experience with non‑prime risk dynamics: thin‑file consumers, volatility, fraud risk, early‑default behavior. + Experience with model evaluation (AUC, KS, lift, bad‑rate curves, stability, PSI). + Work directly with clients and translate analytics into deployable strategies. + Explain complex models in clear business terms. + Background in financial services, alternative lending, FinTech, or specialty finance. + Experience with AFS data sources (Clarity, FactorTrust, MicroBilt, cash‑flow or specialty bureaus). + Familiarity with model governance, explainability, and regulatory considerations in non‑prime lending. + Experience deploying or supporting ML models in production environments. + Exposure to fraud, identity, or first‑payment‑default (FPD) modeling. + Experience mentoring junior data scientists or analysts. + Consult, client delivery, or solution‑oriented project experience. Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. 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.

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.