Staff Data Scientist

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

📋 Description

• Oversee intricate modeling and analytical projects that span a wide and varied scope.

• Propel cross-product initiatives with a high degree of autonomy.

• Establish the technical strategy for uncertain challenges.

• Elevate the standards of the data science team.

• Integrate deep learning, large language models, and conventional data science methods to develop hybrid models.

• Conceptualize, prototype, validate, deploy, and swiftly harness the value of projects.

• Utilize big data, federated learning, unstructured data, time series and sequence modeling, GLMs, XGBoost, and Transformers.

• Convey data insights to clients, stakeholders, and potential customers to drive business outcomes.

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

• Guide junior data scientists and enhance team standards.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Data Science, Biostatistics, Mathematics, or a related discipline with over 5 years of professional data science experience in building predictive models, or a Master’s or Ph.D. with 3 to 5 years of relevant experience.

• Advanced expertise with deep learning frameworks and the essential Python data science ecosystem.

• Comprehensive understanding of contemporary AI architectures, including Transformers, Neural Networks, and LLMs.

• Excellent technical communication and collaboration abilities with non-technical stakeholders and engineering/product teams.

• MLOps experience in transitioning models from notebooks to production.

• Proficient in experiment tracking, packaging, Docker containerization, model serving and APIs, CI/CD, and pipeline orchestration.

• Experience in monitoring production models for data drift, concept drift, and performance degradation with alert mechanisms.

• Strong peer leadership skills and capability to mentor junior data scientists.

• Proven experience in setting and enhancing team standards.

• Familiarity with actuarial methods and collaboration with actuaries is an advantage.

• Understanding of healthcare and medical data.

• Knowledge of underwriting and claims, or the ability to predict long-tailed and/or rare events.

🏝️ Benefits

• Attractive stock options.

• Unlimited vacation days.

• Flexible schedule accommodating remote work.

• Comprehensive medical, dental, and vision benefits.

• 401k plan.

• Paid parental leave.

• Opportunities for learning and taking on new responsibilities.

• Annual performance bonuses.

• Equity grants.

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