Drive data-derived insights across retail and finance divisions
Develop advanced statistical models, machine learning algorithms
Direct the gathering of data, assess validity, and synthesize large analytics datasets
Guide data scientists and ensure on-time delivery of ML products
Evaluate proposed business cases and translate business requirements into strategies

Requirements

Bachelors, Masters, or Ph.D. with 10-15 years of relevant experience
Educational qualifications in Computer Science, Statistics, Mathematics, or related area
Minimum 10 years of experience as a data science technical lead
Deep experience in building data science solutions in areas like fraud prevention, forecasting, inventory management, and recommendation
Strong experience in machine learning: classification models, regression models, NLP, forecasting, optimization, causal inference
Experience with Python, R, GCP/Azure, big data platforms Hadoop (Hive, Map Reduce, HQL, Scala)
Experience with GPU/CUDA for computational efficiency

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

Applicant Tracking System Keywords

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

Hard skills

statistical modelsmachine learning algorithmsclassification modelsregression modelsnatural language processingforecastingoptimizationcausal inferencedata science solutionsdata analytics

Soft skills

leadershipcommunicationstrategic thinkingproblem-solvingcollaborationproject managementdata synthesisbusiness analysistime managementguidance

Certifications

Bachelor's degreeMaster's degreePh.D.