Thrive Market · 9 hours ago
Senior Data Scientist
United States
Full-time
Remote
Senior Level
$175K/yr - $190K/yr
5+ years expThrive Market is an online, membership-based market focused on making healthy and sustainable living accessible. They are seeking a Senior Data Scientist to drive impactful data science initiatives, partnering with various teams to enhance customer experience and business outcomes through data-driven insights and modeling.
BeautyE-CommerceGroceryHealth CareRetailShopping
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
Qualification
Required
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
Benefits
Comprehensive health benefits (medical, dental, vision, life and disability)
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
Free Thrive Market membership with exclusive employee discount
Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform
Company
Thrive Market
Thrive Market is a membership-based online company that offers natural and organic food products.
501-1000 employees
H1B Sponsorship
Thrive Market has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (3)
2023 (5)
2022 (14)
2021 (8)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$241.4MKey Investors
InvusGreycroft
2019-10-24Convertible Note· $20M
2018-07-02Series B· $42.4M
2017-05-30Series B· $20M
Leadership Team
Nick Green
Co-Founder and CEO
Sasha Siddhartha
Co-Founder and CTO
Recent News
2026-01-21
2025-12-10
Business Insider
2025-11-02
Company data provided by crunchbase