Lead Data Scientist - E-Commerce Recommendation (Multiple Positions)

What you'll do

• Develop strategies with algorithm and product teams to improve recommendation performance and e-commerce growth.
• Analyze opportunities and special projects using causal inference, machine learning, forecasting, and experiments; recommend improvements.
• Partner with stakeholders, report A/B test results, and mentor data scientists.

What they ask for

• Master’s degree or foreign equivalent in a listed quantitative field and 3 years of related work experience; or bachelor’s degree or foreign equivalent in a listed quantitative field and 5 years of progressive related work experience.
• 3 years in each of the following: data gathering and analysis for business recommendations; forecasting and experiment analysis with Tableau or Excel; SQL, time series, and causal inference experiments; large-scale dataset analysis using relational databases or Hadoop; and building and validating machine learning models.
• International travel required up to 20%.

Pay

$208050 - $335920 per year (base salary)

Tools

Tableau, Excel, SQL, Hadoop, time series, causal inference, Machine Learning

AI focus

Applies machine learning to recommendation performance and business problems, including clustering, classification, and predictive modeling.