Senior Full-Stack Data Scientist - Growth Algorithms
LaddersAbout the role
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.
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
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.