Experienced Full Stack Data Scientist – Web & Cloud Application Development for Walgreens Data Entry Jobs
About the Role
We are seeking an experienced Full Stack Data Scientist to join our team at Walgreens, a leading healthcare and retail company with a rich history of caring for communities. As a Full Stack Data Scientist, you will play a critical role in driving business growth and innovation through the application of advanced data science, predictive analytics, and machine learning techniques. You will work closely with cross-functional teams to develop and implement data-driven solutions that drive business outcomes and improve customer experiences.
About Walgreens and WBA
Walgreens (www.walgreens.com) is a subsidiary of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), a global healthcare, pharmacy, and retail leader with a 170-year history of caring for communities. With over 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 Responsibilities
As a Full Stack Data Scientist at Walgreens, you will be responsible for:
* Building and deploying models using technical expertise in machine learning, statistical modeling, and data engineering
* Developing and maintaining large-scale data pipelines and architectures to support business intelligence and data-driven decision-making
* Collaborating with cross-functional teams to design and implement data-driven solutions that drive business outcomes and improve customer experiences
* Communicating complex technical concepts to non-technical stakeholders and advocating for data-driven solutions
* Staying up-to-date with emerging trends and technologies in data science and machine learning, and applying this knowledge to drive innovation and business growth
* Working with large datasets, including data wrangling, feature engineering, and data visualization
* Developing and maintaining high-quality, well-documented code using languages such as Python, PySpark, and SQL
* Collaborating with data engineers and data architects to design and implement data infrastructure and architecture
* Participating in code reviews and contributing to the development of best practices and standards for data science and machine learning
* Working with stakeholders to understand business needs and develop data-driven solutions to meet those needs
* Developing and maintaining dashboards and reports to support business intelligence and data-driven decision-making
Essential Qualifications
* Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience
* At least 4 years of experience in data science, machine learning, or a related field
* Advanced degree in a quantitative field, such as a Master's or Ph.D. in Computer Science, Statistics, or Mathematics
* Strong programming skills in languages such as Python, PySpark, and SQL
* Experience with machine learning frameworks such as scikit-learn, TensorFlow, and PyTorch
* Experience with data engineering and data architecture, including data pipelines and data warehousing
* Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
* Experience with data visualization tools such as Tableau, Power BI, or D3.js
* Experience with cloud-based platforms such as AWS, Azure, or Google Cloud
Preferred Qualifications
* Ph.D. in a quantitative field, such as Computer Science, Statistics, or Mathematics
* Experience with IoT and Edge AI
* Experience with Reinforcement Learning
* Experience in the healthcare industry
* Experience with data governance and data quality
* Experience with data security and compliance
Benefits
* Company-paid life insurance
* Medical, prescription drugs, dental, and vision benefits
* 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 and personal accident insurance
Work Environment and Company Culture
Walgreens is committed to creating a diverse and inclusive work environment that values and respects the contributions of all employees. We offer a range of benefits and programs to support the well-being and career development of our employees, including:
* Flexible work arrangements, including remote work options
* Opportunities for professional development and career growth
* A culture of innovation and experimentation
* A commitment to diversity, equity, and inclusion
* A range of employee resource groups and diversity and inclusion initiatives
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 outlining your experience and qualifications for the position. We look forward to hearing from you!
Apply Now
Apply Now
We are seeking an experienced Full Stack Data Scientist to join our team at Walgreens, a leading healthcare and retail company with a rich history of caring for communities. As a Full Stack Data Scientist, you will play a critical role in driving business growth and innovation through the application of advanced data science, predictive analytics, and machine learning techniques. You will work closely with cross-functional teams to develop and implement data-driven solutions that drive business outcomes and improve customer experiences.
About Walgreens and WBA
Walgreens (www.walgreens.com) is a subsidiary of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), a global healthcare, pharmacy, and retail leader with a 170-year history of caring for communities. With over 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 Responsibilities
As a Full Stack Data Scientist at Walgreens, you will be responsible for:
* Building and deploying models using technical expertise in machine learning, statistical modeling, and data engineering
* Developing and maintaining large-scale data pipelines and architectures to support business intelligence and data-driven decision-making
* Collaborating with cross-functional teams to design and implement data-driven solutions that drive business outcomes and improve customer experiences
* Communicating complex technical concepts to non-technical stakeholders and advocating for data-driven solutions
* Staying up-to-date with emerging trends and technologies in data science and machine learning, and applying this knowledge to drive innovation and business growth
* Working with large datasets, including data wrangling, feature engineering, and data visualization
* Developing and maintaining high-quality, well-documented code using languages such as Python, PySpark, and SQL
* Collaborating with data engineers and data architects to design and implement data infrastructure and architecture
* Participating in code reviews and contributing to the development of best practices and standards for data science and machine learning
* Working with stakeholders to understand business needs and develop data-driven solutions to meet those needs
* Developing and maintaining dashboards and reports to support business intelligence and data-driven decision-making
Essential Qualifications
* Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience
* At least 4 years of experience in data science, machine learning, or a related field
* Advanced degree in a quantitative field, such as a Master's or Ph.D. in Computer Science, Statistics, or Mathematics
* Strong programming skills in languages such as Python, PySpark, and SQL
* Experience with machine learning frameworks such as scikit-learn, TensorFlow, and PyTorch
* Experience with data engineering and data architecture, including data pipelines and data warehousing
* Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
* Experience with data visualization tools such as Tableau, Power BI, or D3.js
* Experience with cloud-based platforms such as AWS, Azure, or Google Cloud
Preferred Qualifications
* Ph.D. in a quantitative field, such as Computer Science, Statistics, or Mathematics
* Experience with IoT and Edge AI
* Experience with Reinforcement Learning
* Experience in the healthcare industry
* Experience with data governance and data quality
* Experience with data security and compliance
Benefits
* Company-paid life insurance
* Medical, prescription drugs, dental, and vision benefits
* 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 and personal accident insurance
Work Environment and Company Culture
Walgreens is committed to creating a diverse and inclusive work environment that values and respects the contributions of all employees. We offer a range of benefits and programs to support the well-being and career development of our employees, including:
* Flexible work arrangements, including remote work options
* Opportunities for professional development and career growth
* A culture of innovation and experimentation
* A commitment to diversity, equity, and inclusion
* A range of employee resource groups and diversity and inclusion initiatives
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 outlining your experience and qualifications for the position. We look forward to hearing from you!
Apply Now
Apply Now