Data Scientist Job at Walgreens, Deerfield, IL

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  • Walgreens
  • Deerfield, IL

Job Description

Job Summary

Applies advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios. May explain findings to business audience.

Job Responsibilities
  • Responsible for applying advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios.
  • Interprets and applies data in complex analyses, and explains findings to business audiences to improve products and processes.
  • May support or lead the development of data-related commercial offerings and/or other intellectual property (IP)
  • Executes statistical and mathematical analyses to support business decision making.
  • Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
  • Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining.
  • Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.
  • Develops materials to explain project findings.
  • Effectively resolves problems and roadblocks as they occur.
  • Interacts with internal and external peers and/or managers to exchange semi-complex information related to assigned activities.
  • Prepares and presents interpretation of findings to internal clients.
About Walgreens and WBA:

Walgreens ( is included in the U.S. Retail Pharmacy and U.S. Healthcare segments of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader with a 170 year heritage of caring for communities. WBA’s purpose is to create more joyful lives through better health. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving nearly 10 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that drive equitable access to care for the nation’s medically underserved populations. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with fully integrated physical and digital platforms supported by the latest technology to deliver high quality products and services in communities nationwide.
The actual salary an employee can expect to receive, plus bonus pursuant to the terms of any bonus plan if applicable, will depend on experience, seniority, geographic location, and other factors permitted by law. To review benefits, please visit jobs.walgreens.com/benefits.
"An Equal Opportunity Employer, including disability/veterans".

Basic Qualifications

  • Bachelor's degree and at least 2 years of experience in quantitative or computational functions; or graduate degree in a quantitative, computational or technical discipline
  • Knowledge of SQL
  • Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences.
  • Knowledge of open source data science and statistics packages such as Python, R, Spark, etc.
  • Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.
  • Experience analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions.
  • Willing to travel up to 10% of the time for business purposes (within state and out of state).

Preferred Qualifications

  • Graduate degree in a quantitative, computational or technical discipline
  • #LI-KU1

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