Data Scientist

About the Role

Key Responsibilities

• Design, build, and deploy predictive models to improve decision-making in areas such as service staffing optimization, marketing attribution, demand forecasting, and client retention.
• Analyze complex datasets to identify patterns, generate insights, and support business strategy.
• Partner with business stakeholders to frame problems, prioritize use cases, and measure the impact of data science initiatives.
• Work closely with data engineering to shape data infrastructure and pipelines to support scalable model development.
• Create compelling visualizations and reports to communicate findings clearly to technical and non-technical audiences.
• Contribute to the development of best practices in data science, including model governance, code review, documentation, and reproducibility.
• Stay current with trends in machine learning, AI, and data tooling and bring innovative thinking to the team.
• Follow company policies and procedures related to data security and privacy.
• Participate in ongoing training for data handling best practices.
• Treat client and company data with the highest standards of confidentiality.
• Report any security or privacy incidents promptly.
• Provide technical guidance and mentorship to junior team members.

Requirements

• 5+ years of experience in data science, analytics, or a related quantitative field.
• Strong programming skills in Python, with experience utilizing libraries such as Pandas, scikit-learn, or similar.
• Proficient in SQL and working with large-scale relational databases.
• Experience with data visualization tools (e.g., Tableau or equivalent).
• Strong story-telling skills and the ability to explain complex concepts to non-technical stakeholders.
• Demonstrated experience leading end-to-end data science projects with measurable business outcomes.

Nice to Have

• Familiarity with cloud platforms (e.g., AWS, Azure) and distributed computing (e.g., Spark).
• Understanding of design, deployment, and testing of custom LLMs.
• Experience deploying machine learning models to production environments.
• Background in insurance, financial services, or other highly regulated industries.
• Experience with A/B testing or causal inference methods.

Benefits & Perks

• High-quality voluntary health, vision, disability, life, and dental insurance programs
• 401K Matching Plan
• Employee Stock Purchase Plan
• Paid holidays, vacation, and sick leave
• Corporate-sponsored programs to enhance employee physical, financial, mental, and emotional wellness
• Financial Solution Program