Whole Foods Market Hiring for Principal Data Scientist — Amazon Fresh at Austin Full Time

Job Description: Supports business planning, execution and evaluation through the aggregation, analysis and interpretation of customer, transaction, product, and other relevant data. Performs a wide range of research, analysis, development, and interpretation functions to help the company understand and derive meaning from large and complex data sets. Analyzes a variety of data sources such as customer, transaction and product-related data to identify patterns and drivers through machine learning, data mining, and statistical techniques. Partners with key stakeholders to turn insights into business-focused actions and long-term strategies. Works to ensure Whole Food Market’s data science applications incorporate state-of-the-art concepts, practices and methodologies.

Principal Data Scientist – Amazon Fresh

Job Description

We are looking for an experienced data scientist for Amazon Fresh. In this capacity, this person will work with other data scientists and stakeholders to develop scalable machine learning models for physical retail and digital sales channels.

Above and beyond strong data and technical skills, the right candidate for this position will have a strong understanding of business and marketing performance.

Responsibilities

The following duties are essential in successful execution of the position:

• Build, maintain and evolve models that measures causal impact of marketing activities like media, promotions, pricing, in partnership with wf Foods and Amazon data science teams.

• Manage modeling processes from end-to-end including data gathering, data validation, model building, calibration, cross-validation, and reviewing the final output per business sense.

• Ability to build models at scale and productionize using AWS tools.

• Work closely with marketing teams at Amazon Fresh 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.

Desired Skills & Experience

• Master’s degree in a quantitative discipline (e.g., data science, statistics, applied mathematics, or economics). PhD preferred.

• 5+ 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, PySpark with strong SQL skills. Advanced knowledge of AWS – Sagemaker/Docker/S3/EC2.

• 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).

• Sense of humor a plus.

  At Whole Foods Market, we provide a fair and equal employment opportunity for all Team Members and candidates regardless of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity/expression, age, marital status, disability, or any other legally protected characteristic. Whole Foods Market hires and promotes individuals solely based on qualifications for the position to be filled and business needs.