Principal Data Scientist

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

📋 Description

• Oversee the organization’s most intricate and high-stakes modeling and analytical projects.

• Establish the modeling strategy throughout the organization.

• Propel innovative data science initiatives and elevate technical standards for model creation and deployment.

• Integrate deep learning, large language models, and traditional data science methodologies to develop hybrid models.

• Ideate, prototype, validate, deploy, and swiftly capitalize on the market potential of projects.

• Address challenges related to big data, federated learning, unstructured data, time series analysis, sequence modeling, GLMs, XGBoost, and Transformers.

• Convey data insights to clients, stakeholders, and potential partners to enhance business outcomes.

• Initiate new projects and construct reusable systems, packages, and frameworks.

• Develop team MLOps standards and best practices.

• Track model performance, key performance indicators (KPIs), and overall impact; implement enhancements, resolve issues, and manage technical debt.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Data Science, Biostatistics, Mathematics, or a related discipline with 8+ years of professional data science experience in building predictive models; or a Master’s or Ph.D. with 5+ years of similar experience.

• Proficient knowledge of deep learning, machine learning algorithms, and the fundamental Python data science ecosystem.

• Excellent communication and collaboration skills, particularly in engaging with non-technical stakeholders and leadership.

• Extensive experience with natural language processing, medical data, long-tail predictions, or related fields.

• Strong understanding of all phases of the MLOps model lifecycle.

• Proven experience in establishing team standards and practices to ensure quality and efficiency.

• Significant experience being accountable for the long-term impact of models, including MLOps pipelines, drift monitoring, KPI and impact tracking, incremental and long-term improvements, issue resolution, and responsible technical debt management.

• Familiarity with actuarial methods and experience collaborating with actuaries is advantageous.

• Knowledge of healthcare and medical data.

• Understanding of underwriting and claims, or forecasting long-tailed and/or rare events.

🏝️ Benefits

• Generous stock options.

• Unlimited vacation days.

• Flexible schedule that accommodates remote work.

• Medical, dental, and vision benefits.

• 401k plan.

• Paid parental leave.

• Annual performance bonuses.

• Comprehensive benefits package.

• Opportunities for learning and taking on new responsibilities.

• Merit-based salary increases, promotions, and company-wide compensation adjustments.