Whole Foods Market
Revolutionizing the grocery landscape (again).
Austin, TX

Senior Data Scientist at Whole Foods Market (Austin, TX)

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The Data Science Team is a center of excellence that provides data-driven solutions through advanced analytics techniques to a broad spectrum of Whole Foods’ operations and functions. The successful candidate will be someone who is never satisfied with doing things “the way they have always been done”, lays awake at night thinking of ways to twist data to gain new insights and very importantly can write the code to execute that vision. The hands-on nature of this role requires the successful candidate to effectively balance his/her own contributions to team deliverables with their need to mentor the rest of the team.

Key Accountabilities

  • Develop, and implement data-driven applications and advanced analytical solutions that leverage predictive analytics, data mining techniques, machine learning, open source tools, orchestration tools, Python, R, Spark etc.
  • Understanding of data science analytical tools (e.g. Hadoop, Spark, AWS, Azure, Jupyter Notebooks, Alteryx, etc.)
  • Provide thought leadership and training on advanced analytic tools, systems, techniques and methodology - own the methodology used to support analytics within WFM.
  • Translate complex analytical results into clear, concise and actionable insights to all levels within the organization.
  • Collaborate with Merchandising Operations, Finance, Accounting, Marketing, HR, Tech (IT), Real Estate (site development) and Investor Relations on strategic use of data and analytics. Help fill gaps by solving analytical problems.
  • Maintain a thorough understanding of WFM processes to effectively understand and analyze internal and external data.
  • Drive the adoption of appropriate methodology and techniques to support analytics within WFM.
  • Keep up-to-date with latest developments in Data Science which encompasses Predictive Analytics and Machine Learning.
  • Performs other related duties as assigned.


  • Master’s degree in Statistics, Mathematics, Computer Science, or related quantitative field and 6+ year’s relevant experience, or equivalent combination of education and experience.
  • Proven ability to take complex business analyses and projects from concept to completion and make the results accessible and relevant to business users at all levels.
  • Self-directed, innovative thinker with a strong attention to detail and commitment to consistently meeting timelines and operating from a sense of urgency.
  • Strong understanding of mathematical and statistical concepts. Experience with utilizing advanced mathematical, statistical and data mining techniques to collect data, analyze and construct solutions for complex business problems.
  • Hands-on experience analyzing large, complex data sets using R, Spark, Hadoop, Jupyter Notebooks, AWS, Python, Java, Scala or any other advanced analytical packages/tools/languages
  • Comfortable with uncertainty: projects and assignments will change rapidly so must be flexible enough to accommodate changing priorities and timelines.
  • Excellent organization and time management skills. Ability to multi-task as well as communicate and reset priorities amidst incoming ad hoc requests with short deadlines.
  • Positive attitude, ability to work well under pressure and provide exceptional customer service.
  • Comfortable in a decentralized structure where results are based on cooperation with and influence of others.
  • Ability to work with partners who have a range of analytical skill sets.
  • Ability to effectively present information and respond to questions in one-on-one and large group situations involving senior leadership and other teams in the organization.
  • Highly skilled at communication (written, verbal and listening), relationship building, influence/negotiation and team building
  • Work effectively with others on a team
  • Ability to travel up to 10%.
  • Ability to maintain confidentiality.

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.

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Where we are

Located in the heart of downtown Austin, we've been a mainstay in the Austin community since 1980.

Technology we use

  • Engineering
    • .NETLanguages
    • C#Languages
    • C++Languages
    • JavaLanguages
    • JavascriptLanguages
    • PythonLanguages
    • SqlLanguages
    • jQueryLibraries
    • ReactLibraries
    • AngularJSFrameworks
    • ASP.NETFrameworks
    • Node.jsFrameworks

What are Whole Foods Market Perks + Benefits

Volunteer in local community
Partners with Nonprofits
On top of working with personal nonprofits, Team Members can work with and contribute to our three main nonprofits -- Whole Planet Foundation, Whole Cities Foundation, and Whole Kids Foundation.
Friends outside of work
Eat lunch together
Intracompany committees
Join committees ranging from our hiring committee, Inclusion Task Force, and more.
Daily sync
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Onsite Gym
Mental Health Benefits
Retirement & Stock Options Benefits
Company Equity
Performance Bonus
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Family Medical Leave
Return-to-work program post parental leave
Vacation & Time Off Benefits
Generous PTO
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Game Room
Some Meals Provided
Happy Hours
Pet Friendly
Relocation Assistance
Professional Development Benefits
Diversity Program
Lunch and learns
Cross functional training encouraged
Promote from within
Mentorship program
Time allotted for learning
Online course subscriptions available

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