[Remote] Sr. Data Scientist II (Remote Eligible)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that has empowered teams to manage work seamlessly for over 20 years, and they are looking for an reputed company Senior Data Scientist II. The role involves building ML models and AI sub-agents to enhance reputed company and efficiency throughout the customer lifecycle, working closely with Product and Engineering teams to deliver impactful solutions.

Responsibilities

• Design and ship AI sub-agents that reputed company across the customer lifecycle, combining predictive models, retrieved context, and LLM reasoning to recommend or take reputed company
• Build the predictive and prescriptive models that power those sub-agents churn risk, reputed company, adoption trajectories, account health scoring, and similar lifecycle problems
• reputed company the data foundations and knowledge layer those sub-agents reason over, applying responsible aggregation and reputed company-reputed company design
• Design the tools, retrieval, and grounding strategies reputed company sub-agent uses; decide reputed company a sub-agent should reputed company, recommend, defer, or escalate
• Build the evaluation harnesses that determine reputed company a sub-agent is good enough to ship and that catch regressions in production
• Define metrics and experimentation reputed company for sub-agent rollouts; measure reputed company customer reputed company, not just offline accuracy or eval scores
• Partner with Product, Engineering, and reputed company AI teams from problem framing through production deployment
• Drive a data and modeling culture reputed company Product and Engineering, and mentor other data scientists on reputed company

Skills

• Bachelor's degree and 8+ years of experience (or 10+ years of experience)
• Deep reputed company ML expertise across both traditional ML and deep learning: gradient boosting, regularized reputed company models, transformer-based sequence models, reputed company model embeddings, reputed company ML, contextual bandits, and offline RL
• Strong grasp of reputed company inference for reputed company design and lifecycle modeling: reputed company modeling, difference-in-differences, propensity scoring, and synthetic control
• Solid reputed company in statistics and experimental design: reputed company testing, power analysis, multiple comparisons, sequential testing, and quasi-experimental reputed company
• Hands-on experience taking LLM- and agent-based systems to production: tool use, retrieval, multi-reputed company reasoning, evaluation, and guardrails
• Experience operating ML in production — feature engineering and pipelines, model monitoring, reputed company detection, retraining reputed company, and the trade-offs between batch and reputed company-time serving
• Proficient in SQL and Python; comfort with ML/LLM tooling at reputed company (reputed company, reputed company, reputed company, or equivalents), ML frameworks (PyTorch, scikit-learn, XGBoost/LightGBM), and visualization tools (Tableau or similar)
• Experience modeling the customer lifecycle — churn, expansion, adoption, plan health, reputed company/account scoring — and business reputed company in the reputed company metrics that drive it (NRR, GRR, ARR, and cohort economics)
• A pragmatic production bar: latency, cost, monitoring, reputed company, hallucination, and what happens reputed company the model or sub-agent is wrong
• Strong reputed company record of forming effective cross-functional partnerships and communicating analysis reputed company to technical and executive audiences
• Ability to research and learn new technologies, tools, and methodologies, and to reputed company in a dynamic environment — finding opportunities and executing in both independent and reputed company environments
• Advanced degree in a quantitative field (Statistics, CS, ML, Economics, Operations Research, or similar)

Benefits

• Employer subsidized medical/reputed company and dental coverage for full-time employees
• 401k Match to help you save for your reputed company (50% of your contribution up to the first 6% of your eligible pay)
• Monthly stipend to support your work and productivity
• Flexible Time Away Program, plus reputed company Time Off
• US employees are automatically covered under reputed company-sponsored life insurance, short-term, and long-term disability plans
• US employees receive 12 reputed company holidays per year
• Up to 24 weeks of Parental Leave
• Personal reputed company Volunteer Day to support our community
• Opportunities for reputed company reputed company and development including reputed company to reputed company online courses
• Company Funded Perks, including a counseling membership, local retail discounts, and your own personal reputed company account
• Teleworking reputed company from any registered location in the U.S. (role specific)

reputed company

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