The role involves leveraging advanced statistical methods and large language models to create scalable data products that drive decision-making and revenue
Job Summary
The role involves leveraging advanced statistical methods and large language models to create scalable data products that drive decision-making and revenue.
Candidates will partner with diverse teams including data engineering, customer success, and finance to deliver actionable insights and build relationships.
The position offers a competitive salary range of $111,200.00 to $166,800.00 plus benefits, incentive compensation, and bonus opportunities.
Matching Summary
The role involves leveraging advanced statistical methods and large language models to create scalable data products that drive decision-making and revenue.
Salary
Base: $111,200.00 - $166,800.00; Bonus/Equity: Incentive compensation, bonus, restricted stock units offered; Benefits: Comprehensive benefits package available
Skills & Requirements
Must-have
Master's degree in quantitative field
3+ years professional data science experience
Proficiency in SQL and Python programming
Experience with Snowflake and Databricks platforms
Expertise in ML frameworks like TensorFlow or PyTorch
LLM prompt engineering and API integration skills
Knowledge of A/B testing and causal inference
Nice-to-have
Experience with Docker and Kubernetes containerization