Introduction to Walgreens and the Role
Walgreens, a leading healthcare, pharmacy, and retail company, is seeking an experienced Senior Data Scientist to join its team. As a Senior Data Scientist, you will play a critical role in applying advanced data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations. You will work closely with cross-functional teams, including finance, researchers, software developers, and business leaders, to define product requirements and provide analytical support. This is a remote opportunity, offering the flexibility to work from anywhere, and we encourage candidates from diverse backgrounds to apply.
Job Responsibilities
The Senior Data Scientist will be responsible for:
- Building models and systems using technical expertise in machine learning, statistical modeling, risk and decision theory, and other quantitative methods. Innovating by adapting to new modeling techniques and procedures.
- Understanding the business context behind large datasets and developing meaningful analytic solutions.
- Applying analytical rigor and statistical techniques to analyze large quantities of data, using advanced statistical methods, including predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. Building recommendations and optimization algorithmic designs, performing data retrieval, complexity analysis, and scientific computing.
- Programming using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
- Performing machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
- Building algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. Interpretable ML, Bayesian theory, etc.
- Utilizing Cloud Computing on Azure/Databricks, querying in Snowflake.
- Utilizing software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies.
- Collaborating with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
- Communicating verbally and in writing to business clients and management team with diverse levels of technical expertise, educating them about our systems, as well as sharing insights and recommendations.
About Walgreens and WBA
Walgreens (www.walgreens.com) is part of 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 history of caring for communities. WBA's purpose is to create more joyful lives through better health. Operating nearly 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 almost 10 million customers every day. Walgreens pharmacists play a vital 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.
Basic Qualifications
To be successful in this role, you will need:
- Bachelor's degree and a minimum of 4 years of experience in data science, machine learning, quantitative, or computational capabilities OR High School/GED and a minimum of 7 years of experience in data science, machine learning, quantitative, or computational capabilities.
- M.S. in STEM, PC science, data systems, physics, mathematics, statistics, data science, machine learning, or similar.
- At least 4 years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models.
- Advanced experience in SQL, Python, PySpark, or other languages.
- Advanced degree skill in exploratory data analysis, feature engineering, and selection, detecting patterns, learning distributions, visualizing results, and extracting insights to support businesses in making informed data-driven decisions.
- Experience using decision trees and building classifiers.
- Experience with supervised learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised learning techniques (K means, hierarchical clustering, association rules, principal components).
- Experience with Cloud ML systems, distributed computing, data pipelines, cloud data stores, and serving engines.
- Experience designing and analyzing A/B experiments.
- Advanced degree skill in conveying rigorous technical concepts and issues to non-experts.
- Experience working in dynamic environments and working with ambiguity, prioritizing needs, and delivering results.
- Experience effectively communicating technical solutions and advocating to research scientists, engineering teams, and business audiences.
- At least 2 years of experience contributing to business decisions in the workplace.
- At least 2 years of direct management, indirect management, and/or cross-functional team management.
- Willing to travel up to/as a minimum of 10% of the time for business purposes (within the country and out of the country).
Preferred Qualifications
While not required, the following qualifications are preferred:
- Ph.D. in STEM, PC science, data systems, physics, mathematics, statistics, data science, machine learning, or similar.
- Experience working with IoT and Edge AI is a plus.
- Experience in Reinforcement Learning is a plus.
- Experience in Healthcare is a plus.
Benefits
As a Walgreens employee, you will be eligible for a range of benefits, including:
- Company-Paid Life Insurance
- Medical, Prescription Drugs, Dental, and Vision
- Retirement Savings Plan – 401(k)
- Employee Stock Purchase Plan
- Paid Time Off (PTO)
- Holidays
- Paid Parental Leave (PPL)
- Transportation Benefit Plan
- Employee Store Discount
- Voluntary Life & Personal Accident Insurance
Conclusion
If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Senior Data Scientist at Walgreens, you will have the chance to work on complex and impactful projects, collaborate with cross-functional teams, and contribute to the company's mission to create more joyful lives through better health. Don't miss out on this opportunity to join a leading healthcare, pharmacy, and retail company and take your career to the next level.
Apply Now
Apply Now