Data Scientist

Walgreens is hiring a Data Scientist to apply statistical, analytical, and machine-learning methods to business problems supporting Marketing, Loyalty, and CRM decisions. The role develops and evaluates predictive models, analyzes complex datasets and business outcomes, and translates findings into actionable recommendations.

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

Skills

• 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
• Graduate degree in statistics, economics, data science, applied mathematics, computer science, engineering, or a related quantitative discipline
• Strong proficiency in SQL and Python or R, including experience manipulating and analyzing large datasets
• Knowledge of statistical modeling, machine learning, experimental design, and model evaluation techniques
• Experience with data preparation, feature engineering, exploratory analysis, and data visualization
• Ability to write clear, reusable, and well-documented analytical code
• Strong analytical problem-solving and communication skills, with the ability to explain technical findings to nontechnical audiences
• Experience in marketing, customer, CRM, or loyalty analytics is a plus

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