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Thrive Market is a membership ecommerce platform that aims to provide every American family with high-quality, natural products at affordable prices. Potential hires seeking work-l
Director, Data Science & Machine Learning
Location
Indiana + 1 moreAll locations: Indiana | California
Posted
70 days ago
Salary
$250K - $300K / year
Seniority
Senior
Job Description
Director, Data Science & Machine Learning
Thrive Market
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 Thrive Market is looking for a Director of Data Science & Machine Learning to lead the company’s ML organization and define the strategic direction for how machine learning powers the member experience. This role sits at the intersection of applied science, engineering, and product strategy. Thrive Market is moving toward a server-driven platform architecture. Rather than relying on static templates and generic carousels, the vision is for every member to see a personalized storefront the moment they log in; product recommendations, search results, promotions, and content all dynamically assembled by ML-powered backend systems. This leader will be the driving force behind making that vision a reality. You will inherit a team of three Senior Data Scientists and oversee the hiring of three additional team members (Senior Data Scientist, Fullstack Engineer, and Machine Learning Data Engineer). This is a hands-on leadership role: you will set the technical direction, build and scale the team, partner deeply with Product, Engineering, and business stakeholders, and ensure ML is embedded across the platform, not siloed as a service function. Requirements ML Strategy & Organizational Leadership - Define and execute the ML roadmap for Thrive Market, aligning machine learning investments with business priorities across search, discovery, personalization, growth, and operations. - Build, scale, and mentor a high-performing ML team spanning data science, ML engineering, and analytics. - Serve as the primary ML voice in product and engineering leadership forums, translating business objectives into ML-solvable problems and communicating technical trade-offs to non-technical stakeholders. Server-Driven Personalization & Retrieval Systems - Architect and deliver the ML layer powering Thrive Market’s server-driven personalization platform, enabling dynamically assembled, per-member experiences at page load. - Own end-to-end retrieval and ranking systems across search and recommendations: multi-stage pipelines (candidate generation, neural ranking, re-ranking), embedding models, and real-time feature serving. - Lead redesign and continuous improvement of the search stack using semantic retrieval (e.g., BERT-based encoders), learned ranking, and feature-rich re-ranking models to improve relevance, engagement, and latency. - Build and scale recommender systems (e.g., Buy It Again, Personalized Feeds, Deals) that drive meaningful revenue lift while balancing member retention, diversity, and long-term engagement. ML Decision Systems & Business Impact - Develop production ML decision systems; predicted lifetime value (pLTV), member segmentation, demand forecasting. Used across Finance, Growth, and Operations to guide acquisition strategy, capital allocation, and lifecycle optimization. - Partner with cross-functional teams (Product, Marketing, Merchandising, Finance) to identify high-impact ML applications and ensure models are integrated into business workflows, not just prototyped. ML Platform & Infrastructure - Strengthen ML platform foundations: model deployment, feature pipelines, validation frameworks, monitoring, and experiment velocity. - Drive adoption of best practices for ML reliability—automated testing, model health monitoring, graceful degradation, and observability. - Enable faster iteration cycles across the ML team through tooling, infrastructure investment, and process improvements. Applied GenAI & Innovation - Lead applied GenAI exploration, including prototyping LLM-powered assistants for shopping, product discovery, and personalization workflows. - Evaluate emerging ML techniques and tooling, maintaining a pragmatic lens on what delivers member and business value versus what is experimental. Qualifications Must-Have - 8+ years of experience in data science, machine learning, or applied ML engineering, with at least 3 years leading ML teams in a production environment. - Deep technical expertise in search, retrieval, ranking, and/or recommendation systems, with demonstrated experience building multi-stage ML pipelines at scale. - Proven track record of building and scaling an ML organization—hiring, mentoring, setting technical standards, and establishing team culture. - Experience designing and deploying ML systems that directly drive business outcomes (revenue, engagement, retention, operational efficiency) in an e-commerce or consumer-facing platform. - Strong cross-functional partnership skills—able to work effectively with Product, Engineering, Marketing, Finance, and executive leadership. - Experience with ML platform and infrastructure patterns: feature stores, model serving, experimentation frameworks, and monitoring. - Comfort operating as both a strategic leader and a hands-on technical contributor, especially in the early stages of building out the team. Strong Signals - Experience with server-driven or backend-driven UI/personalization architectures. - Background in e-commerce, marketplace, or subscription-based platforms. - Experience with NLP/semantic search (e.g., BERT-based encoders, dense retrieval). - Familiarity with pLTV modeling, demand forecasting, or similar decision-science applications. - Hands-on experience with LLMs and applied GenAI in production or near-production contexts. - Mission-driven orientation—experience at or affinity for companies focused on health, wellness, sustainability, or social impact. JOB INFORMATION - Compensation Description - The base salary range for this position is $250,000 - $300,000/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, Annual Bonus, 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. BELONG TO A BETTER COMPANY - Comprehensive health benefits (medical, dental, vision, life and disability) - Competitive salary (DOE) + equity - 401k plan - 9 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.
Benefits
- 401(K), Commuter benefits, Company equity, Company-sponsored outings, Customized development tracks, Dedicated diversity and inclusion staff, Dental insurance, Disability insurance, Documented equal pay policy, Volunteer in local community, Family medical leave, Flexible Spending Account (FSA), Flexible work schedule, Free daily meals, Generous parental leave, Company-sponsored happy hours, Health insurance, Highly diverse management team, Job training & conferences, Life insurance, Charitable contribution matching, Online course subscriptions available, Open office floor plan, Onsite office parking, Partners with nonprofits, Performance bonus, Pet friendly, Promote from within, Lunch and learns, Remote work program, Free snacks and drinks, Team based strategic planning, OKR operational model, Team workouts, Mandated unconscious bias training, Unlimited vacation policy, Vision insurance, Wellness programs, Mental health benefits, Diversity employee resource groups, Hiring practices that promote diversity
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