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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. With every member experiencing a personalized storefront, product recommendations, search results, promotions, and content dynamically assembled by ML-powered backend systems, this leader will drive that vision to reality.
You will inherit a team of three Senior Data Scientists and oversee the hiring of three additional team members. This hands‑on leadership role sets the technical direction, builds and scales the team, partners deeply with Product, Engineering, and business stakeholders, and ensures 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
401 k 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
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.
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.
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Sprachkenntnisse
- English
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