Staff Data Scientist

Description

This Staff Data Scientist role is based at 1375 Crossman Avenue, Sunnyvale, CA 94089.

You will join the company's eCommerce group and support large projects such as email targeting, business optimization and consumer recommendations.

The team relies on analytics to guide its projects, and you will act as the statistics and modeling expert for your project team.

Responsibilities

• Assemble large data sets from internal and external sources.
• Run advanced statistical analysis to uncover trends and meaningful relationships in the data.
• Design learning systems that filter and analyze streaming data as well as offline data.
• Train algorithms to apply models to new data, then test and validate them.
• Scale new algorithms so they work on large data sets.
• Combine data features to build search models.
• Build several custom models and algorithms that support new business solutions.
• Turn business needs into clear data requirements.
• Work with cross-functional partners and project teams to put data modeling solutions in place.
• Model the current state of a process to identify the improvements it needs.
• Read data for trends that can carry over to future data sets.
• Track new industry research and techniques and apply them to your projects.
• Work with tools including MySQL, Hadoop, Weka, R, Matlab and ILog.
• Use technology such as HBase, MapReduce, LAPack and Gurobi.

Requirements

• A Master's degree or equivalent in Statistics, Economics, Analytics (any), Mathematics, Computer Science, Information Technology or a related field, plus 2 years of experience in an analytics-related field.
• Or a Bachelor's degree or equivalent in those fields, plus 4 years of experience in an analytics-related field.
• Experience pulling data with SQL and analyzing it.
• Experience building ML models in Python and running analysis that SQL cannot handle.
• Experience building dashboards in Tableau that show key metric trends.
• Experience running A/B tests to measure how new product launches perform.
• Experience with simple calculations and quick ad hoc analysis in MS Excel.
• Experience building machine learning models that predict customer behavior and recommend optimized spending strategies.
• Experience with ETL work that turns raw, messy data sources into structured tables.
• Experience with quasi-experimental methods to measure launches when A/B tests are not feasible.
• Experience defining KPIs such as activation, retention, churn and feature adoption.
• Experience finding high-impact cohorts and shaping product strategy around them.
• Experience predicting product usage, growth and the impact of future launches.
• Any amount of experience with these skills is accepted.

Conditions

Base pay ranges from $172,170 to $286,000 per year.

Performance incentives are paid annually or quarterly.

Eligibility for some benefits depends on job classification and length of employment.

Benefits and plan terms may change; details are on the internal benefits site.

The company is an equal opportunity employer.

The workplace is drug-free, with zero tolerance for illegal drugs and alcohol on the job.

Benefits

• Competitive pay plus performance-based incentive awards.
• Medical, vision and dental coverage.
• 401(k), stock purchase and company-paid life insurance.
• Paid time off including sick leave, parental leave, family care leave, bereavement, jury duty and voting.
• Short-term and long-term disability, company discounts, military service pay and adoption expense reimbursement.
• Education assistance covering 100% of college degree costs, paid by the company.