About Us
Walgreens, a leading American retail pharmacy chain, has been a household name since 1901. With a rich history spanning over a century, the company has grown from a small food front store in Chicago to a global retail pharmacy chain with thousands of locations across the United States and internationally. At Walgreens, we are committed to providing exceptional customer service, innovative products, and a wide range of services to meet the evolving needs of our customers.
Job Summary
We are seeking an experienced Senior Data Scientist to join our team at Walgreens. As a Senior Data Scientist, you will be responsible for applying advanced data science, predictive analytics, and AI techniques to provide insights and recommendations to drive business growth and improvement. You will work closely with cross-functional teams, including finance, analysts, software developers, and business leaders, to develop and implement data-driven solutions.
Key Responsibilities
- Construct and deploy complex models and algorithms using specialized data in AI, statistical modeling, probability and decision theory, and other quantitative techniques.
- Analyze large datasets to identify business opportunities and develop data-driven solutions.
- Apply statistical rigor and data science techniques to analyze large datasets, using advanced statistical methods, such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining.
- Program using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, and others.
- Perform AI procedures, supervised and unsupervised learning to build predictive models and prescriptive answers for various business use cases.
- Develop algorithms like decision trees, regression, XGBoost, K means, anomaly detection. Interpretable ML, Bayesian inference, and others.
- Use distributed computing on Azure/Databricks, querying in Snowflake.
- Use programming tools and strategies GitHub, Continuous Integration and Delivery, agile methodologies.
- Collaborate with finance, analysts, software developers, and business leaders to define product requirements and provide data science support.
- Communicate verbally and in writing to business clients and leadership teams with varying levels of technical expertise, educating them about our systems, as well as sharing insights and recommendations.
Essential Capabilities
To be successful in this role, you will need to possess the following essential capabilities:
- Four-year degree and at least 4 years of experience in data science, AI, quantitative or computational capabilities OR High school diploma/GED and at least 7 years of experience in data science, AI, quantitative or computational capabilities.
- M.S. in STEM, software engineering, data systems, physics, mathematics, statistics, data science, AI, or related fields.
- At least 4 years of experience working with large-scale, complex datasets to build/enhance AI, predictive, estimating, or prescriptive models.
- Advanced experience with SQL, Python, PySpark or other languages.
- Advanced expertise in exploratory data analysis, data modeling and selection, pattern recognition, distribution analysis, result visualization, and insight extraction to help business make informed data-driven decisions.
- Experience using decision trees, building classifiers.
- Experience with supervised learning techniques (direct and indirect regression, time series modeling, generalized linear models, decision trees, support vector machines, and others) and unsupervised learning techniques (K means, hierarchical clustering, association rules, principal component analysis).
- Experience with Cloud ML platforms, distributed computing, data pipelines, cloud data stores, and serving engines.
- Experience planning and analyzing A/B tests.
- Advanced expertise in conveying complex technical ideas and concepts to non-technical audiences.
- Experience working in a fast-paced environment and working with ambiguity, focusing on needs, and delivering results.
- Experience actually delivering technical solutions and advocating to research scientists, engineering teams, and business audiences.
- At least 2 years of experience contributing to financial decisions in the workplace.
- At least 2 years of direct management, indirect management, or cross-functional team leadership.
- Ability to travel up to/something like 10% of the ideal time for business purposes (within state and out of state).
Preferred Capabilities
The following preferred capabilities are highly desirable:
- Ph.D. in STEM, software engineering, data systems, physics, mathematics, statistics, data science, AI, or related fields.
- Experience working with IoT, and Edge AI is a plus.
- Experience in Support Learning is a plus.
- Experience in Healthcare is a plus.
What We Offer
As a Senior Data Scientist at Walgreens, you will have the opportunity to work with a talented team of data scientists, analysts, and business leaders to drive business growth and improvement. We offer a competitive salary range of $20-$30/hour, as well as a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off. You will also have the opportunity to work on a wide range of projects, from predictive modeling to data visualization, and to develop your skills and expertise in data science and AI.
How to Apply
If you are a motivated and experienced data scientist looking for a new challenge, please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!
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