Experienced Senior Data Scientist – Advanced Data Analysis, Machine Learning, and Cloud Computing for Healthcare and Retail Industry
About Us
Walgreens Boots Alliance, Inc. (Nasdaq: WBA) is a leading healthcare, pharmacy, and retail company with a 170-year history of caring for communities. Our mission is 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 the nation's medically underserved populations.
Job Summary
We are seeking an experienced Senior Data Scientist to join our team. As a Senior Data Scientist, you will be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations. You will also provide consulting support for program improvement and drive meaningful initiatives. If you have a passion for data analysis, machine learning, and cloud computing, and are looking for a challenging and rewarding role, we encourage you to apply.
Key Responsibilities
Build models and tools using technical expertise in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Innovate by adapting to new modeling techniques and procedures.
Understand the business context behind large datasets and develop significant analytical solutions.
Apply analytical rigor and statistical techniques to analyze large datasets, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. Build suggestions and optimization algorithmic designs, perform data retrieval, complexity analysis, and clinical computing.
Program using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
Perform machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
Build algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. Interpretable ML, Bayesian theory, etc.
Utilize Cloud Computing on Azure/Databricks, querying in Snowflake.
Utilize software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies.
Collaborate with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
Communicate 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.
Essential Qualifications
To be successful in this role, you will need to have the following qualifications:
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, statistics 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 help businesses make informed data-driven decisions.
Experience using decision trees, and building classifiers.
Experience with supervised machine learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised machine 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 standards and issues to non-experts.
Experience working in dynamic environments and working with ambiguity, prioritizing needs, and delivering results.
Experience efficiently communicating technical solutions and advocating to data 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/at least 10% of the time for business purposes (within the country and out of the country).
Preferred Qualifications
We are also looking for candidates with the following preferred qualifications:
Ph.D. in STEM, PC science, statistics 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
We offer a comprehensive benefits package, 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
Why Join Us?
At Walgreens Boots Alliance, we are committed to creating a workplace that is inclusive, diverse, and supportive of our employees' growth and development. We offer a range of benefits and programs to support our employees' physical, emotional, and financial well-being. We also provide opportunities for professional development and career advancement, as well as a collaborative and dynamic work environment.
How to Apply
If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this role. Please submit your resume and a cover letter explaining why you are the ideal candidate for this position. We look forward to hearing from you!
Apply Now
Walgreens Boots Alliance, Inc. (Nasdaq: WBA) is a leading healthcare, pharmacy, and retail company with a 170-year history of caring for communities. Our mission is 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 the nation's medically underserved populations.
Job Summary
We are seeking an experienced Senior Data Scientist to join our team. As a Senior Data Scientist, you will be responsible for leveraging advanced data science, predictive analytics, and machine learning techniques to provide insights and actionable recommendations. You will also provide consulting support for program improvement and drive meaningful initiatives. If you have a passion for data analysis, machine learning, and cloud computing, and are looking for a challenging and rewarding role, we encourage you to apply.
Key Responsibilities
Build models and tools using technical expertise in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Innovate by adapting to new modeling techniques and procedures.
Understand the business context behind large datasets and develop significant analytical solutions.
Apply analytical rigor and statistical techniques to analyze large datasets, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design, analysis, and data mining. Build suggestions and optimization algorithmic designs, perform data retrieval, complexity analysis, and clinical computing.
Program using tech stack Python, PySpark, Matplotlib, TensorFlow, PyTorch, etc.
Perform machine learning techniques, and supervised and unsupervised algorithms to build predictive models and prescriptive solutions to support various business use cases.
Build algorithms like decision trees, regression, XGBoost, K means, and anomaly detection. Interpretable ML, Bayesian theory, etc.
Utilize Cloud Computing on Azure/Databricks, querying in Snowflake.
Utilize software tools and methodologies GitHub, Continuous integration and delivery, agile methodologies.
Collaborate with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
Communicate 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.
Essential Qualifications
To be successful in this role, you will need to have the following qualifications:
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, statistics 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 help businesses make informed data-driven decisions.
Experience using decision trees, and building classifiers.
Experience with supervised machine learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised machine 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 standards and issues to non-experts.
Experience working in dynamic environments and working with ambiguity, prioritizing needs, and delivering results.
Experience efficiently communicating technical solutions and advocating to data 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/at least 10% of the time for business purposes (within the country and out of the country).
Preferred Qualifications
We are also looking for candidates with the following preferred qualifications:
Ph.D. in STEM, PC science, statistics 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
We offer a comprehensive benefits package, 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
Why Join Us?
At Walgreens Boots Alliance, we are committed to creating a workplace that is inclusive, diverse, and supportive of our employees' growth and development. We offer a range of benefits and programs to support our employees' physical, emotional, and financial well-being. We also provide opportunities for professional development and career advancement, as well as a collaborative and dynamic work environment.
How to Apply
If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this role. Please submit your resume and a cover letter explaining why you are the ideal candidate for this position. We look forward to hearing from you!
Apply Now