Senior Associate, Data Scientist

Location and work arrangement

• The role is designated hybrid, with three days per week specified.

Role overview

Responsibilities

• Own projects and analytical workstreams from problem framing and data exploration through feature engineering, model development, evaluation, and communicating results.
• Analyze structured and unstructured data using statistical and machine learning methods.
• Define business problems with cross-functional stakeholders and provide actionable recommendations.
• Partner with engineering teams to develop, test, and deploy models using model lifecycle best practices.
• Identify process improvements, enhance model performance, and drive efficiency.

Required qualifications

• Master’s degree in a quantitative field or equivalent experience.
• Typically 1–3+ years of data science or analytics experience in a business or applied setting.
• Experience with Python and/or R, and familiarity with SQL.
• Strong foundation in statistics, machine learning, and analytical problem-solving.
• Ability to independently execute end-to-end analytical projects and deliver actionable insights from real-world datasets.
• Strong communication and stakeholder-influence skills; able to work independently and manage competing priorities.

Preferred skills

• Exposure to experimentation, model evaluation, or model monitoring.
• Experience in financial services, insurance, or direct-to-consumer businesses.
• Familiarity with cloud platforms such as AWS or SageMaker.
• Experience applying generative AI in business settings.

Pay

• Salary range is $80,000–$110,000 per year.
• The role is exempt and eligible for a discretionary annual bonus; additional incentive-program eligibility may apply.