Principal, Data Scientist - Market Intelligence

About the Role

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and insights to measure performance against competition and inform business growth opportunities
• Research, create and implement advanced statistical models and cutting-edge machine learning algorithms on fast-moving structured and unstructured data to support decision making
• Have a very strong product mindset and proactively ideate, design, improve and automate relevant data products
• Lead projects and take ownership of the whole lifecycle of projects, including prototyping models and data process code, communicating with cross-functional teams to align progress and collaborate on integrations
• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise reports, visualizations, and presentations to gain alignment and drive business actions
• Guide and mentor junior data scientist team members on modeling processes and algorithms and foster a collaborative and innovative work environment

Requirements

• Masters in Computer Science, Statistics, Mathematics, Econometrics, Information Technology or related analytical discipline with 4+ years of post-graduate relevant work experience or Ph.D with 2+ years of post-graduate relevant work experience
• Proven advanced modeling experience in leading data-driven projects from definition to execution, driving and influencing project roadmaps
• Experience with at least one scripting language (Python/R)
• Deep expertise in writing and debugging complex SQL code
• Strong written, oral communication and presentation skills
• Ability to analyze complex problems with critical thinking and innovative solutions
• Strong production level modeling experience with one programming language from end-to-end
• Experience with full lifecycle of a real-world modeling project in a lead role
• More than 3 years of experience in retail industry or macro-economic related functions

Nice to Have

• Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
• Publications or active peer reviewer in related journals or conferences
• Successful completion of assessments in Python, Spark, Scala, or R
• Experience using open source frameworks (e.g., scikit-learn, TensorFlow, Torch)
• Knowledge of creating inclusive digital experiences and implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and digital accessibility best practices

Qualifications

• Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field
• Option 2: Master's degree in the same fields and 1 year of relevant experience
• Option 3: 5 years' experience in an analytics or related field

Benefits & Perks

• Competitive pay with performance-based bonus awards
• Health benefits including medical, vision, and dental coverage
• Financial benefits such as 401(k), stock purchase, and company-paid life insurance
• Paid time off including PTO, sick leave, parental leave, family care leave, bereavement, jury duty, and voting
• Other benefits including short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement
• Live Better U education benefit program covering tuition, books, and fees