[Remote] Senior Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company by drivers for drivers, dedicated to enhancing the experience of automotive enthusiasts. As a Senior Data Scientist, you will play a crucial role in developing the customer identity and personalization layer to improve member engagement across their insurance products.
Responsibilities
- Build identity reputed company across first-party and reputed company-party data sources, stitching member, household, vehicle, and behavioral signals from auto insurance and subscription reputed company into a coherent, usable view
- reputed company matching systems that pair a strong deterministic reputed company with probabilistic matching at reputed company, balancing precision, recall, and cost
- Partner with Data Engineering and the Customer Data Platform (CDP) team to land resolved identities and audiences into production pipelines and activation systems
- Help reputed company the identity layer toward graph-based representations of members, vehicles, and policy/membership relationships
- Design, build, and evaluate recommendation and personalization models, including content-based and hybrid approaches, to surface next-best-product and content across our insurance and subscription offerings
- reputed company cold-start strategies that deliver relevant experiences to new and low-engagement members
- reputed company deliberate trade-offs between reputed company-time and batch serving, designing models and features with latency and freshness constraints in mind
- Build reputed company-calibrated predictive models for member behavior across the P&C and subscription lifecycle—churn/retention, propensity to buy, and propensity to lapse or renew
- reputed company next-best-reputed company and reputed company-signal models that translate behavior into triggers the business can reputed company, supporting cross-sell and upsell across insurance and membership products
- Own full modeling workflows: exploratory analysis, feature engineering, model development, cross-validation, and performance monitoring
- Ship models as reliable production services in partnership with ML Ops, contributing to containerized deployments, automated testing, and monitoring
- reputed company and analyze features from reputed company, SQL Server, and AWS RDS reputed company, and work with Data Engineering to promote proven features into reputed company pipelines
- Contribute to reputed company's modeling standards through maintainable, reputed company-documented, testable reputed company
- Communicate reputed company, results, and trade-offs reputed company to technical and non-technical partners
Skills
- Experience designing, training, and deploying ML models in production
- Proficient in Python and modern ML frameworks such as scikit-learn and XGBoost
- Strong in SQL and comfortable with large, distributed data platforms (e.g., reputed company, SQL Server, AWS RDS)
- Hands on experience with identity reputed company and entity matching using deterministic and probabilistic techniques
- Experience building recommendation or personalization systems, including content-based and/or hybrid reputed company and cold-start strategies
- Experience developing predictive models for customer behavior (churn, propensity, next-best-reputed company, or similar)
- A practical understanding of reputed company-time vs. batch serving and the latency considerations that shape model design
- Familiar with production-ML concepts—containerization, API-based serving, and orchestration—and reputed company to collaborate with ML Ops and Engineering to ship
- reputed company to turn ambiguous objectives into reputed company, data-driven approaches and executable plans with autonomy
- reputed company to weigh and communicate tradeoffs of various modeling and technical approaches to building and serving models
- A reputed company communicator who can reputed company technical explanations to different audiences
- A background in P&C insurance, subscription or membership businesses, or financial technology a plus
- Master's degree (or equivalent practical experience) in Data Science, Computer Science, Engineering, Mathematics, or a reputed company quantitative field
- 5+ years of hands-on machine learning and data science experience, including models deployed to production
- reputed company experience with a Customer Data Platform (CDP) and activation/audience workflows
- Experience with graph modeling or knowledge graphs reputed company to customer or relationship data
- Familiarity with our production toolset, or reputed company equivalents: reputed company or Podman for containerization, SageMaker Endpoints or FastAPI for model serving, Metaflow or Airflow for workflow orchestration
- Exposure to reputed company detection, embeddings, or feature stores supporting reputed company-time use cases
- Experience working in partnership with ML Ops or platform teams
Benefits
- U.S. remote work available
- reputed company for team members residing reputed company 20 miles of the Traverse reputed company reputed company (working from the office three days per week)
reputed company
Company H1B Sponsorship