About the Role
Are you a seasoned data science professional with a passion for driving business growth through data-driven insights? Do you have a strong background in managing teams, developing analytical models, and communicating complex data findings to senior management? If so, we invite you to apply for the Experienced Full Stack Data Science Manager position at Walgreens, a leading healthcare and retail company.
About the Company
Walgreens is a global leader in the healthcare and retail industry, with a rich history of innovation and customer-centricity. Our company is committed to making a positive impact on the lives of our customers, employees, and the communities we serve. As a data science manager at Walgreens, you will be part of a dynamic team that leverages data analytics to drive business growth, improve customer experiences, and enhance operational efficiency.
Job Summary
We are seeking an experienced full stack data science manager to lead our data science team in developing and implementing data-driven solutions that drive business growth and improve customer experiences. The successful candidate will have a strong background in data science, team management, and communication, with a proven track record of delivering high-impact projects and driving business results.
Key Responsibilities
As a full stack data science manager at Walgreens, you will be responsible for:
- Leading internal and off-shore teams to deliver sales metrics and improve methods as needed
- Using a test and learn approach or building predictive models to measure marketing performance, including marketing campaigns and loyalty program offers
- Integrating measurement results with business intelligence to inform marketing teams and present meaningful business insights to senior management teams
- Collaborating with project teams and business partners to ensure quality work and on-time delivery
- Designing, developing, and implementing methods, processes, and systems for the consolidation and analysis of various data sets, including structured and unstructured data
- Acting as a subject matter expert and serving as a point of development for complex data analysis and problem-solving
- Proactively resolving issues, including timely resolution and identification of opportunities for remediation
- Creating software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate, and evaluate datasets
- Staying up-to-date with new analytical methods and technologies
- Collaborating with functional business units and driving business solutions and direction
- Building credibility with colleagues while managing expectations and ensuring frequent, continuous, and effective communication with team members and stakeholders
- Developing and mentoring employees through onboarding, open communication, training, development opportunities, and performance management processes
Essential Qualifications
To be successful in this role, you will need:
- A bachelor's degree and at least 4 years of experience in quantitative or computing functions, or a graduate degree in a quantitative, computing, or engineering discipline and at least 2 years of experience in a quantitative or computing function
- Experience with analytical and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS, and/or others to perform data analysis and interpretation
- Deep knowledge of SQL
- Deep knowledge of open-source data science and statistical packages such as Python, R, Spark, etc.
- At least 2 years of experience contributing to financial decision-making in the workplace
- At least 2 years of direct leadership, indirect leadership, and/or cross-functional team leadership
- Willingness to travel up to 10% of the time for business purposes (in and out of state)
Preferred Qualifications
While not required, the following qualifications are highly desirable:
- Graduate degree in a quantitative field (mathematics, statistics, computer science, business analytics, etc.) or an MBA
- Testing and teaching experience or other statistical modeling experience
- Strong knowledge of advanced analytical tools and languages for analyzing large datasets from multiple data sources
Career Growth Opportunities and Learning Benefits
As a data science manager at Walgreens, you will have the opportunity to:
- Develop and implement data-driven solutions that drive business growth and improve customer experiences
- Collaborate with cross-functional teams to drive business results and improve operational efficiency
- Stay up-to-date with new analytical methods and technologies through ongoing training and professional development
- Develop and mentor employees through onboarding, open communication, training, development opportunities, and performance management processes
Work Environment and Company Culture
Walgreens is a dynamic and inclusive company that values diversity, equity, and inclusion. Our company culture is built on a foundation of collaboration, innovation, and customer-centricity. As a data science manager at Walgreens, you will be part of a team that is passionate about using data analytics to drive business growth and improve customer experiences.
Compensation, Perks, and BenefitsCompensation, Perks, and Benefits
As a data science manager at Walgreens, you can expect a competitive salary and a comprehensive benefits package that includes:
- A competitive salary range of $20-$30 per hour
- A comprehensive health insurance package, including medical, dental, and vision coverage
- A 401(k) retirement savings plan with company match
- Generous paid time off, including vacation, sick leave, and holidays
- Opportunities for professional development and continuing education
- A dynamic and inclusive company culture that values diversity, equity, and inclusion
How to Apply
If you are a motivated and experienced data science professional looking for a new challenge, we invite you to apply for the Experienced Full Stack Data Science Manager position at Walgreens. To apply, please click on the link below and submit your resume and cover letter.
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Simple Application Process
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We look forward to hearing from you and exploring how you can contribute to our team's success.
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