• Build analytic solutions and machine learning models (e.g. classification, ranking) to optimize Utilization Management in healthcare and translate business logic or healthcare workflow into data-driven decisions • Develop data structures and processing pipelines to organize, collect, and standardize insights from both unstructured data (PDFs, texts, images) and structured data, to address both reporting needs and feature development • Explore and build LLM-powered pipelines and evaluate performance based on real-world feedback • Create and evaluates the data needs of assigned projects and assures the integrity of the data • Explore existing data and recommends additional sources of data for improvements • Document projects including business objectives, data gathering and processing, detailed set of results and analytical metrics

(Fully-remote US position) About LiftLab Liftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance. Job responsibilities - Develop new algorithm-based features of LiftLab’s marketing measurement and optimization platform - Performs diagnostics and root-cause analysis and provide fixes - Works with Data Science and Engineering to implement these features into LiftLabs product and workflow Course work/experience: - Data manipulation - SQL - Operating on big datasets in Python - Data visualization - Mathematical optimization - Linear optimization concepts - Nonlinear continuous optimization - Linear algebra - Mathematical modeling - Using parametrized systems of equations to represent real-world systems - Statistics - Multivariate regression - Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters - Bayesian concepts - Hypotheses testing Education requirements Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience Skills/Aptitude - Engineering and detective mindset - Both to diagnose data and existing algorithms and to develop new analytics functionality - Pragmatic approach to real-world problems - Focus on problem solving over applying specific models - Willingness to make approximations and assumptions rather than find “the” optimal solution - Ability to combine multiple techniques and models to solve end-to end-problems - Communication and collaboration skill - Ability to convert non-technical requests into project specifications

ABOUT THRIVE MARKET Thrive Market was founded in 2014 with a mission to make healthy and sustainable living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy, and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,700,000+ members find better products, support better brands, and build a better world in the process. We are also a Certified B Corporation, a Public Benefit Corporation, and a Climate Neutral Certified company. Join us as we bring healthy and sustainable living to millions of Americans in the years to come. THE ROLE At Thrive Market, our ML (Data Science) team drives meaningful impact for both our members and the business by transforming data into insights, models, and systems that shape every part of the e-commerce grocery journey. From powering search, recommenders and personalization to optimizing lifecycle engagement, our data scientists ensure decision-making and product experiences are grounded in rigorous analysis and scalable intelligence. We’re looking for a Senior Data Scientist to play a critical role within our ML team. In this role, you’ll own high-impact analytical and modeling initiatives end-to-end, partnering closely with Product, Engineering, and Analytics to influence strategy, improve customer experience, and drive measurable business outcomes. You will be expected to operate with significant autonomy, demonstrate strong judgment in problem framing and solution design, and raise the overall bar for data science excellence across the organization. RESPONSIBILITIES: - Own and deliver high-impact data science initiatives, from problem definition and data exploration to modeling, validation, and productionization, driving measurable improvements in customer experience and business metrics. - Partner closely with Product, Engineering, and Analytics to shape roadmaps, define success metrics, and translate ambiguous business problems into well-scoped analytical or modeling solutions. - Partner with Engineering and Devops to deploy, operate, and scale ML workloads using cloud-native infrastructure and MLOps tooling (e.g., AWS SageMaker, Lambda, S3, ECR, Docker, Kubernetes). - Design, build, and iterate on statistical models, machine learning systems, and decision frameworks (e.g., personalization, ranking, forecasting, experimentation analysis). - Lead rigorous experimentation and measurement practices, including A/B test design, hypothesis formulation, metric selection, causal inference, and interpretation of results. - Communicate insights, trade-offs, and recommendations clearly to both technical and non-technical stakeholders, influencing decisions at the pod and org level. - Ensure high standards of quality and reliability in data science outputs through code reviews, model validation, documentation, and monitoring. - Proactively identify opportunities and risks in data, modeling, or experimentation approaches, and drive improvements that enhance scalability, accuracy, and long-term impact. - Mentor and support other data scientists through technical guidance, feedback, and best-practice sharing, without direct people management responsibility. QUALIFICATIONS: - 5+ years of experience in data science, applied machine learning, or a related quantitative role, with demonstrated ownership of end-to-end projects. - Strong grounding in ML, statistics, experimentation and data analysis, including hypothesis testing, causal reasoning, and metric design. - Experience building and deploying production-grade models or analytical systems in collaboration with engineering teams, including hands-on experience with cloud-based ML infrastructure (e.g., AWS SageMaker, Lambda, S3, ECR) and containerized workflows (Docker, Kubernetes). - Proven experience designing, analyzing, and interpreting A/B tests in production environments, aligned to business or product goals, including defining success metrics and guarding against common statistical pitfalls. - Ability to work effectively with cross-functional partners (Product, Engineering, Analytics, Design, Data Engineering), translating between business context and technical solutions. - Strong problem-framing and prioritization skills, particularly in ambiguous or under-specified problem spaces. - Proficiency in SQL and Python, with experience using modern data and ML tooling. - Ownership mindset: proactively identifying problems worth solving, taking accountability for outcomes, and driving initiatives forward independently. PREFERRED: - Hands-on experience with search, personalization, recommendations, ranking, or lifecycle modeling. - Experience with MLOps best practices, including model versioning, CI/CD for ML, monitoring, and operating models in containerized and orchestrated environments (Docker, Kubernetes). - Experience in e-commerce, marketplace, or subscription-based businesses. - Familiarity with working in environments with moderate technical debt or evolving data foundations. - Experience defining and owning metrics, experimentation frameworks, or model performance monitoring in production. - Demonstrated ability to influence beyond immediate project scope, shaping best practices, standards, or strategy across teams. BELONG TO A BETTER COMPANY: - Comprehensive health benefits (medical, dental, vision, life and disability) - Competitive salary (DOE) + equity - 401k Employer Match - 9 Days of Observed Holidays - Flexible Paid Time Off - Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences - Ability to work in our beautiful office in Playa Vista - Free Thrive Market membership with exclusive employee discount - Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform We're a community of more than 1 Million + members who are united by a singular belief: It should be easy to find better products, support better brands, make better choices, and build a better world in the process. At Thrive Market, we believe in building a diverse, inclusive, and authentic culture. If you are excited about this role along with our mission and values, we encourage you to apply. Thrive Market is an EEO/Veterans/Disabled/LGBTQ employer At Thrive Market, our goal is to be a diverse and inclusive workplace that is representative, at all job levels, of the members we serve and the communities we operate in. We’re proud to be an inclusive company and an Equal Opportunity Employer and we prohibit discrimination and harassment of any kind. We believe that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you’re thinking about joining our team, we expect that you would agree! Employment with Thrive Market requires that employees be based in the United States. This is a condition of employment and must be maintained throughout the duration of employment. If you need assistance or accommodation due to a disability, please email us at eeo@thrivemarket.com and we’ll be happy to assist you. Ensure your Thrive Market job offer is legitimate and don't fall victim to fraud. Thrive Market never seeks payment from job applicants. Thrive Market recruiters will only reach out to applicants from an @thrivemarket.com email address. For added security, where possible, apply through our company website at www.thrivemarket.com. © Thrive Market 2026 All rights reserved. JOB INFORMATION - Compensation Description - The base salary range for this position is $175,000 - $190,000/Per Year. - Compensation may vary outside of this range depending on several factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location. - Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more! - This position requires traveling to our HQ office in Los Angeles, California, twice a year for all-company summits; once in the summer and once in the winter.

Role DescriptionWe're looking for a Senior Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the AI and Core Experience area. This area focuses on improving key part of the core product through re-envisioning the user experience including the home experience, integrating AI features into the user experience, and building new functionality. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We’re looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities - Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments - Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights - Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes - Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. - Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. - Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments - Translate complex concepts into implications for the business via excellent communication skills, both verbal and written - Understand what matters most and prioritize ruthlessly - Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements - Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field - 6+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting - Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction - Significant experience with SQL - Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees - Solid background in running multivariate experiments to optimize a product or revenue flow - Strong verbal and written communication skills - Strong leadership and influence skills - Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications - Product analytics experience in a SAAS company - Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field CompensationUS Zone 1 This role is not available in Zone 1 US Zone 2 $173,700—$234,900 USD US Zone 3 $154,400—$208,800 USD