Note: The job is a remote job and is open to candidates in USA. Thrive Market is an online, membership-based market aiming to make healthy living accessible. They are seeking a Senior Data Scientist to drive impactful analytical and modeling initiatives, collaborating with various teams to enhance customer experience and achieve business objectives.
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
Skills
- 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
- 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)
- 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
Company Overview