Senior Data Scientist

This is a fully remote position, open to applicants in California.

📋 Description

• Examine both structured and unstructured data to uncover trends, patterns, and business opportunities.

• Execute exploratory analyses and on-demand research to address key business inquiries.

• Provide actionable insights that bolster strategic initiatives and enhance operational efficiency.

• Convert intricate analytical results into presentations and reports that are accessible for business stakeholders.

• Design, test, and maintain predictive models for optimizing pricing, forecasting claims, detecting fraud, segmenting customers, and predicting business performance.

• Utilize statistical methods and machine learning techniques to tackle business challenges.

• Implement A/B testing and assess program effectiveness.

• Create, develop, and sustain dashboards and KPI reporting solutions utilizing Power BI and Tableau.

• Collaborate with stakeholders to establish business metrics and reporting specifications.

• Track business performance and detect emerging trends through visualizations and reporting.

• Work alongside underwriting, product, marketing, operations, and leadership teams on analytical projects.

• Partner with data engineering and governance teams to enhance data quality, consistency, and documentation practices.

• Contribute to the development of curated data assets and analytical datasets.

• Promote best practices and encourage continuous learning and innovation.

• Engage with internal and external stakeholders through virtual collaboration.

• Travel occasionally for meetings, training sessions, conferences, or company events.

⛳️ Requirements

• A bachelor's degree in a quantitative field such as Statistics, Data Science, Economics, Actuarial Science, Mathematics, Computer Science, or a related discipline.

• Over 4 years of experience in data science, advanced analytics, or a similar role.

• Experience in the insurance or financial services sector is highly desired.

• Familiarity with insurance-related data such as quotes, policies, claims, ratings, or customer information is strongly preferred.

• Prior experience in auto insurance is an advantage.

• Proficient in predictive modeling, machine learning, statistical analysis, and data mining techniques.

• Advanced skills in Python and SQL.

• Proficient in using Power BI or Tableau.

• Experience handling large, complex datasets and developing scalable, reproducible analytical solutions.

• Familiarity with Azure, AWS, Databricks, or similar cloud-based data platforms is a plus.

• Outstanding problem-solving and analytical thinking capabilities.

• Excellent communication skills, with the ability to convey technical concepts to non-technical audiences.

• Capability to work independently and collaborate effectively in cross-functional teams.

• Strong organizational skills and meticulous attention to detail.

• Ability to excel in a fast-paced and dynamic environment.

• Capacity to remain stationary and work on a computer for 6 to 8 hours daily.

• Frequent keyboarding, mouse operation, and repetitive fine motor tasks required.

• Ability to read and interpret computer screens, documents, and detailed data visualizations.

• Effective verbal and written communication skills.

• Capability to occasionally move around the office and transport light office materials.

• Ability to lift and move up to 15 pounds on occasion.

• Maintain focus and attention to detail while managing multiple projects and deadlines.

🏝️ Benefits

• A collaborative workspace where ideas are appreciated.

• Support for growth and professional development.

• Flexible or alternative work schedules aligned with business needs.

• Occasional travel for meetings, training, conferences, or company events.

• Reasonable accommodations available.

• Option for a remote office environment.