Senior Data Scientist

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

📋 Description

• Contribute to the establishment of modeling standards and best practices for pricing and risk assessment in the insurance sector.

• Provide support and mentorship to junior data scientists through code reviews, knowledge sharing, and technical guidance.

• Construct, validate, and implement GLM-based models for frequency, severity, and loss costs in homeowners insurance pricing.

• Develop machine learning models, such as GBMs and neural networks, to enhance underwriting accuracy, competitive positioning, and profitability.

• Create ensemble models focused on profitability at the insured level, customer retention, conversion rates, and customer lifetime value.

• Utilize aerial imagery, satellite data, government records, and building permits to assess localized risks and inform pricing and underwriting decisions.

• Collaborate with product, actuarial, engineering, and business teams to integrate data science solutions into operational processes.

• Develop, file, implement, and monitor predictive models to ensure compliance with regulatory standards.

• Employ deployment strategies such as A/B testing, performance monitoring, and continuous improvement in high-traffic environments.

• Assess generative AI and LLM techniques for enhancing competitive advantages.

⛳️ Requirements

• Over 5 years of experience in data science, particularly in insurance pricing or risk modeling.

• Proven technical ownership of complex projects from inception to completion, along with experience in mentoring or supporting junior data scientists.

• Experience in building, validating, and deploying GLM-based pricing models in a production environment, preferably for homeowners or other property/casualty lines.

• Familiarity with machine learning models for applications beyond pricing.

• Proficiency in Python and SQL.

• Experience in implementing GLMs and gradient boosting models using tools like scikit-learn, statsmodels, xgboost, and lightgbm.

• Knowledge of experimental design, model deployment, A/B testing, and causal analysis.

• Experience with cloud-based data platforms such as BigQuery and GCP.

• Familiarity with MLOps, including model training pipelines, version control, and monitoring.

• Proficient in using Confluence and Jira.

• Experience in an Agile/Scrum work environment.

• A Master's or PhD in Statistics, Mathematics, Computer Science, or a related quantitative discipline is preferred.

• A background in actuarial science or insurance mathematics is preferred.

• Experience with customer lifetime value, retention, or conversion modeling is preferred.

• Experience with geospatial or spatial data analysis is preferred.

• Familiarity with generative AI and LLMs, including prompt engineering or fine-tuning, is preferred.

• Exposure to experimentation frameworks and causal inference methods is preferred.

• Experience with model governance, validation frameworks, and regulatory compliance in the insurance industry is preferred.

🏝️ Benefits

• Long-term incentive awards, subject to program guidelines and approvals.

• Three options for medical plans.

• Two options for dental plans.

• Vision plan available.

• Voluntary plans for Critical Illness, Hospital Indemnity, and Accident coverage.

• Partially employer-funded Health Savings Account.

• Flexible Spending Accounts for healthcare, dependent care, and transportation.

• Company-funded Basic Life and AD&D insurance.

• Short- and Long-Term Disability benefits.

• Optional Life and AD&D plans.

• Traditional and Roth 401(k) plans with discretionary employer matching.

• Employer-sponsored Supportlinc wellbeing program, offering guided meditation, mindfulness exercises, mental health coaching, clinical care, and confidential resources.

• LifeBalance discounts on gym memberships, travel, appliances, movies, pet insurance, and more.

• Flexible paid vacation policy.

• Typically nine paid holidays provided by the company each year.

• Paid sick leave.

• Paid parental leave.

• Identity theft protection program.

• Travel assistance services.

• Discounts on fitness and other services.