Whole Foods Market
Principal Data Science Analyst at Whole Foods Market in Austin, TX
Austin, TX | $100K - $150K
Qualifications
- years of hands-on experience developing advanced marketing measurement methods; proficiency with predictive modeling techniques
- Working knowledge of supervised (GLM, Classification models, Ensemble techniques, Regularization techniques, Bayesian Models, Hierarchical models etc.) and unsupervised models (Clustering, Principal Component Analysis, etc.). Very strong programming skills in Python, with strong SQL skills
- Experience working with enterprise scale databases, with demonstrated ability to independently query and prepare data for analysis
- Self-directed, innovative thinker
- In addition to a strong attention to detail, strong candidates will also be able to see the strategic implications for the business in the big picture
- You are fluent in telling the story to both technical and non-technical audiences
- Strong candidates will have a curious mind, a passion for synthesizing information from multiple sources, the ability to interpret data through the lens of shopper behavior, and a habit of translating data into insights that drive action
- Strong communication and presentation skills and ability to partner with internal stakeholders to shape marketing strategy and planning
- Experience with various types of marketing data, including data regarding media (e. g., IRI, Kantar, Nielsen) and digital audience (e. g., DMPs), ad-serving (e.g., Google DCM, Atlas), and digital clickstream (e.g., Google Analytics, Adobe)
- Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications
Responsibilities
- In this capacity, this person will work with Whole Foods and Amazon marketers and data scientists to develop scalable machine learning models for physical retail and digital sales channels
- Build, maintain and evolve models that measure promotion incrementality, in partnership with Whole Foods and Amazon data science teams
- Understanding of impact of promotions at baseline level, cannibalization impact and halo effect and build models for to measure this impact
- Manage modeling processes from end-to-end including data gathering, data validation, model building, calibration, cross-validation, and maximizing model accuracy
- Interpret and validate model results with statistical checks
- Design reports, data visualizations and presentations to track model performance and communicate business impact to marketing leadership teams
- Translate strategic business questions into analyses that inform business decisions
- Explain complex modeling approaches in simple terms; Develop compelling narratives that connect modeling results with marketing problems
- Work closely with marketing teams at Whole foods to ensure that analytical products support organizational goals and solve key business problems
- Build & maintains strong working relationships across departments or teams based on trust and mutual respect
- Communicate with senior stakeholder to balance stakeholder and analytics perspectives
Benefits
- $100K -- $150K
- 10,001+ employees
- Retail, Food & Beverage, Health & Wellness, Food and Beverage, Grocery Stores, Convenience Stores, Food Processing, Food Retail, Grocery, retail
- Public Company
- Austin, TX
- Company Specialties:
Organic supermarket, Conscious business, Organic farming, Animal welfare, Organic produce, e-commerce, Amazon, Engineering , software development, and aws
Company information
Whole Foods was founded in 1980 on the belief that where food comes from, and how it’s grown, matters. It meant creating quality standards, working with suppliers who achieve them, and sharing that information with our customers. And it radically changed the way people understood and shopped for food. The result has been the highest quality natural and organic products, an unmatched experience in more than 500+ stores, with a passionate team of over 90,000 team members, 5 percent of our total net profits given back to our communities each year, and millions of customers who put their trust in us every day.
