WALGREENS Looking for Data & Machine Learning Scientist (WH) at Chicago, IL Full Time

The Data & Machine Learning Scientist is responsible for applying complex data analysis tools and techniques to provide insights and actionable recommendations for the business. The individual will utilize complex statistical modeling to make predictions about future outcomes and in multiple
scenarios, and will explain findings to business audience. You are expected to deliver innovative, high quality solutions aligned with our mission and to foster a culture of collaboration, trust, and technical expertise.

Job Responsibilities

• Develops and deploys advanced scalable algorithms and models for solving various business problems and driving value for Walgreens Boots Alliance, drawing from knowledge and experience in Machine Learning/AI, constrained optimization, probabilistic theory, statistical theory, graph theory, or related fields. Application areas include but are not limited to algorithmic process of recommendation for patient health/outcome improvement, automation; optimization; demand forecasting; outlier detection, mathematical optimization, cost to serve optimization; natural language processing, marketing intelligence; and personalization.
• Collaborates with business clients, product managers, data engineers, front end developers, and other team members to build and deploy scalable ML/AI infused applications, or other data centric products that incorporate constrained optimization, multi-dimensional recommenders, statistical theory, large-scale forecasting, sensor analytics, IoT, etc.
• Programs using tech stack Python, PySpark, etc.
• Utilizes Cloud Computing on Azure/Databricks, querying in Snowflake.
• Performs machine learning techniques, supervised and unsupervised algorithms
• Works with key stakeholders to formulate a comprehensive plan that is consistent with the overall business objectives and budgetary considerations.
• Preprocess data, performs statistical and multivariate analysis, feature importance analysis and feature ingineering, suggests a model.
• Conducts research by studying organization goals, strategies, practices, and user cases.
• Recommends strategies by evaluating organization outcomes; identifying problems; evaluating trends; anticipating requirements.
• Shares complex information related to areas of expertise.
• Interacts with peers to interpret information and improve cross-functional processes and programs.
• Builds and enhances key internal and external contacts.

An Equal Opportunity Employer, including disability/veterans

About Walgreens Boots Alliance

Walgreens Boots Alliance (Nasdaq: WBA) is a global leader in retail pharmacy, impacting millions of lives every day through dispensing medicines, and providing accessible, high-quality care. With more than 170 years of trusted healthcare heritage and innovation in community pharmacy, the company is meeting customers’ and patients’ needs through its convenient retail locations, digital platforms and health and beauty products.

Including equity method investments, WBA has a presence in more than 25 countries, employs more than 450,000 people and has more than 21,000 stores.

WBA’s purpose is to help people across the world lead healthier and happier lives. The company is proud of its contributions to healthy communities, a healthy planet, an inclusive workplace and a sustainable marketplace. WBA is a participant of the United Nations Global Compact and adheres to its principles-based approach to responsible business.

WBA is included in FORTUNE’s 2021 list of the World’s Most Admired Companies. This is the 28th consecutive year that WBA or its predecessor company, Walgreen Co., has been named to the list.

More company information is available at www.walgreensbootsalliance.com

Basic Qualifications

• Bachelor’s degree and at least 4 years OR High School/GED and at least 7 years Experience in STEM, computer science, information systems, physics, mathematics, bioor statistics, computational chemistry, datascience, machine learning, artificial intelligence or similar.
• Intermediate level skill in at least one general purpose programming language, such as shell scripting, Python, PySpark, etc.
• At least 2 years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models.
• Intermediate level skill in SQL or any other relational and non-relational databases.
• Intermediate level skill in exploratory data analysis, feature engineering and selection, detecting patterns, analyzing distributions, visualizing results, and extracting insights to help business make informed data driven decisions
• At least 2 years of experience contributing to financial decisions in the workplace.
• At least 2 years of direct leadership, indirect leadership and/or cross-functional team leadership.
• Willing to travel up to/at least 10% of the time for business purposes (within state and out of state).

Preferred Qualifications

• Experience using decision trees, building classifiers.
• Experience with supervised learning methods (linear and logistic regression, time-series modelling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised learning methods (K-means, hierarchical clustering, association rules, principal components).
• Experience with Cloud ML platforms, distributed computing, data pipelines, cloud data stores and serving engine.
• Experience designing and analyzing A/B experiments.
• Intermediate level skill in conveying rigorous technical concepts and considerations to non-experts.
• Experience working in a dynamic environment and working with ambiguity, prioritizing needs, and delivering results.
• Experience effectively communicating technical solutions and advocating to research scientists, engineering teams and business audiences.
• Experience with Pandas, Scikit-learn, Matplotlib, TensorFlow, or similar libraries.
• Intermediate level skill with Azure Blob Storage Azure HDInsight, Azure Databricks, Azure Kubernetes Service, or any other Cloud environment.
• Experience in cloud deployment of ML/AI applications is a plus.
• Experience working with IoT, and Edge AI is a plus.
• Experience in Healthcare is a plus.
• Experience with NLP
• Experience with non-relational databases
• Experience and knowledge of of distributed / parallel computing