Experienced Full Stack Data Scientist – Web & Cloud Application Development for Walgreens

About Us

Walgreens (www.walgreens.com) is a leading healthcare, pharmacy, and retail company with a 170-year history of caring for communities. As part of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), we aim to create more joyful lives through better health. With almost 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, Walgreens is proud to be a community health destination serving nearly 10 million customers every day. Our pharmacists play a vital role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that promote equitable access to care for medically underserved populations.

Job Summary

We are seeking an experienced Full Stack Data Scientist to join our team. As a key member of our data science team, you will be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to drive business insights and inform strategic decisions. You will work closely with cross-functional teams to develop and implement data-driven solutions that drive business growth and improve customer experiences.

Key Responsibilities

• Data Science and Analytics: Develop and deploy advanced data science and analytics solutions to drive business insights and inform strategic decisions.
• Machine Learning and Modeling: Design, develop, and deploy machine learning models to predict customer behavior, optimize business processes, and improve operational efficiency.
• Cloud Computing and Data Engineering: Develop and maintain large-scale data pipelines, data warehouses, and cloud-based data platforms to support data-driven decision-making.
• Collaboration and Communication: Work closely with cross-functional teams, including finance, research, software development, and business leaders, to define product requirements and provide analytical support.
• Technical Leadership: Provide technical leadership and guidance to junior data scientists and engineers, and contribute to the development of data science best practices and standards.

Essential Qualifications

To be successful in this role, you will need:

• Advanced Degree: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or a related field, or equivalent experience.
• Experience: At least 4 years of experience in data science, machine learning, or a related field, with a strong focus on cloud computing, data engineering, and data analytics.
• Technical Skills: Proficiency in programming languages such as Python, R, or SQL, and experience with cloud-based data platforms, including AWS, Azure, or Google Cloud.
• Machine Learning and Modeling: Experience with machine learning algorithms, including supervised and unsupervised learning, and ability to design and deploy predictive models.
• Cloud Computing and Data Engineering: Experience with cloud-based data platforms, including data warehousing, data pipelines, and data engineering.
• Communication and Collaboration: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

Preferred Qualifications

We are also looking for candidates with:

• Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related field.
• Experience with IoT and Edge AI.
• Experience with Reinforcement Learning.
• Experience in Healthcare.