Build prototypes and PoCs, partnering with product to define requirements and the path to productization.
Perform exploratory analysis on large datasets to identify trends, clusters, and anomalies; recommend fixes and improvements.
Develop and evaluate statistical/ML models; support validation, tuning, and performance assessment.
Create dashboards and visualizations to communicate model outcomes and business insights.
Write and test maintainable code (Python/SQL and related tools) to deliver analytics solutions.

Requirements

Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.
Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
4 years' experience in an analytics or related field.
Fluency in Python and SQL.
Experience with exploratory data analysis, feature development, and model selection/validation.
Comfort working with big data ecosystems.

Benefits

Health benefits including medical, vision and dental coverage.
401(k), stock purchase and company-paid life insurance.
Paid time off benefits including PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Short-term and long-term disability.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
Live Better U education benefit program for full-time and part-time associates.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLstatistical modelsmachine learning modelsexploratory data analysisdata visualizationdashboard creationfeature developmentmodel selectionmodel validation

Certifications

Bachelors degreeMasters degree