Data Scientist - Growth and Marketing Analytics

About the Role

Key Responsibilities

• Develop a comprehensive, data-driven understanding of customer healthcare needs and shopping behaviors, identifying friction points and high-value engagement opportunities, particularly within insurance plans and benefits.
• Design, build, and deploy machine learning and statistical models including deep learning, causal inference, and regression to enhance marketing and sales efficiency.
• Construct scalable pipelines on cloud platforms (GCP, AWS, Azure) to monitor, evaluate, and automate activation across marketing, sales, and other functions.
• Leverage generative AI and large language models (LLMs) to streamline processes and create new business opportunities.
• Create compelling data visualizations and deliver clear, actionable insights to inform strategic decisions in marketing and sales.
• Collaborate with Strategy, Marketing, Operations, and Data Science teams to translate analytics into targeted, actionable business solutions.

Requirements

• 1-2+ years of experience with Python, SQL, and cloud applications (GCP, AWS, Azure).
• 1-2+ years of experience with solving analytics problems using advanced statistics, machine learning, deep learning, mathematical algorithms, and predictive modeling.
• 1-2+ years of industry experience presenting technical concepts to non-technical audiences and delivering clear insights.

Nice to Have

• Broad proficiency in mathematical analysis, machine learning, statistical analysis, and predictive modeling, with depth in one or more areas.
• Experience designing and deploying scalable machine learning models in production environments.
• Hands-on experience with A/B testing methodologies and causal inference analysis.
• Experience in designing and implementing data pipeline and warehouse solutions.
• Familiarity with CI/CD pipeline development and maintenance.
• Experience developing and evaluating large language models.

Qualifications

• Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline.
• Master's or PhD preferred.

Benefits & Perks

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access, and many other benefits depending on eligibility.