Senior Full-Stack Data Scientist - Growth Algorithms

For our client, we are seeking a Senior Full-Stack Data Scientist - Growth Algorithms to join the team of a leader in the Retail & Consumer Goods space.

This role will focus on building and improving data-driven growth systems that enhance customer experiences and support smarter business decisions. You will partner closely with product, design, and engineering to develop client-facing features, design experiments, and translate large-scale data into actionable insights. The position blends machine learning, experimentation, and applied analytics to optimize journeys and measure the impact of new solutions.

You will also help shape next-best-action approaches and apply modern ML techniques, including AI-assisted coding practices, to deliver production-ready outcomes in a collaborative environment.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $180,000 – $205,000 annually

Responsibilities

• Collaborate with LLMs and traditional ML in team efforts
• Design and execute experiments to test new features and communicate findings to stakeholders
• Optimize client journeys using next-best-action modeling and marketing strategies
• Leverage extensive client and merchandise data for impactful decision-making
• Work alongside product, design, and engineering teams to develop client products and features

Qualifications

• Bachelor's degree in a quantitative field; Master's or PhD preferred
• 5+ years of experience in machine learning algorithms, preferably in retail personalization
• Proficiency in architecting technical solutions and writing production-grade Python applications
• Experience managing and analyzing large-scale datasets with consideration for biases
• Knowledge of AI-assisted coding practices and development of product solutions
• Experience in designing and interpreting A/B tests and performance metrics
• Strong communication skills with a collaborative and ownership mindset

Benefits

• Medical, dental, and vision insurance
• Equity options via restricted stock units based on performance
• Eligibility for an annual bonus based on performance

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.