Senior Data Scientist - Portfolio Strategy

THREE is a growing insurance company that sells a unique and straightforward insurance policy to small businesses – from restaurants, to electricians, to consultants – covering them against property risks (e.g. fire, theft, flood), lawsuits, and more. It was born out of and remains part of Berkshire Hathaway, one of the most respected companies in the world. At THREE, you’ll join a team of experienced insurance operators that chooses to run lean, promotes autonomy, and is charged with building a small commercial insurer that challenges the largest players in its space.

Job Responsibilities

Reporting to the President, this role is responsible for building out THREE’s analytical foundation to help drive business strategy.

• Build and maintain statistical models, and conduct research that supports key decisions across the business—including areas like actuarial, claims, marketing, sales, engineering, and operations. Example applications include:
  • Evaluating portfolio profitability and competitiveness by segment
  • Modeling customer retention, lifetime value, and marketing performance
  • Scoring leads and agencies to prioritize sales efforts
  • Enhancing actuarial ratemaking and reserving by incorporating additional data sources

• Operationalize your work by integrating models into production workflows used across the business.
• Work closely with domain experts across the business to extract knowledge that improves model specification and supports effective validation.
• Communicate results clearly and in a way that makes intuitive sense, so others can understand them, trust them, and act on them with confidence.
• Ensure all work is reproducible, well-organized, and appropriately documented, making it easy to review and build upon.
• Deliver decision-ready outputs backed by rigorous validation, sense checks, and quality control.
• Design models that perform well in sparse-data settings, apply methods to stabilize noisy estimates, and clearly communicate uncertainty.

Qualifications

• 5+ years of experience in applied data science or statistical modeling; experience in insurance or actuarial domains is a strong plus
• Strong intuition for probabilistic reasoning and the principles underlying statistical modeling
• Proficiency with Bayesian methods, hierarchical modeling, and simulation-based techniques
• Hands-on experience with Python (or R) and SQL for data manipulation and analysis, and familiarity with probabilistic programming libraries like PyMC or Stan
• Experience leveraging AI tools to accelerate workflows, with a clear understanding of their limitations and the safeguards needed for quality, privacy, and security
• Strong organizational skills, acute attention to detail, and a preference for taking a methodical approach to analysis and problem-solving
• Excellent verbal and written communication skills, and an eagerness to collaborate across disciplines

About Us

Our parent, Berkshire Hathaway Inc. (berkshirehathaway.com) is a holding company with diversified interests in a host of industries, including insurance, energy, transportation and manufacturing. Most policies issued through THREE will be underwritten by Berkshire Hathaway Direct Insurance Company ("BHDIC"), which is an AM Best rated A++ insurer.

BHDIC is domiciled in Omaha, Nebraska. BHDIC and the team at THREE are focused on helping small business owners quickly and easily buy affordable insurance directly from a financially strong insurance company they can trust.

Some highlights of our benefits are:

• Great work environment with growth opportunity
• Subsidized downtown parking (for in-office positions)
• Competitive compensation
• Generous amounts of vacation and sick time
• Closed on major holidays
• 401(k) with company match
• A fantastic healthcare package
• Tuition reimbursement after 6 months of employment
• Service recognition after 5 years of employment

In accordance with pay transparency laws and regulations, the following good faith compensation range estimate is being provided.  The salary range for this position is $160,000 to $220,000 per year.  Final compensation will be based on candidate qualifications, geographic location, and other considerations permitted by law.