About the Role
We are on a mission to revolutionize the healthcare industry with innovative solutions, and we need a skilled Senior Manager Data Scientist to join our team in a remote work environment. This is an exciting opportunity to drive business growth, lead a team of data scientists, and make a meaningful impact on the lives of millions of customers. If you are a seasoned data science professional with a passion for driving business outcomes, we encourage you to apply for this role.
About Walgreens and WBA
Walgreens (www.walgreens.com) is a leading healthcare, pharmacy, and retail company with a 170-year legacy of serving communities. As part of the Walgreens Boots Alliance (WBA), we are committed to making a positive impact on people's lives through better health. With over 9,000 retail stores across the United States, Puerto Rico, and the U.S. Virgin Islands, we serve nearly 10 million customers every day. Our pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that address the country's medically underserved populations.
Job Responsibilities
As a Senior Manager Data Scientist, you will be responsible for:
- Overseeing complex data assembly and incorporation of large volumes of data, performing analysis, interpreting results, and creating actionable insights and recommendations for use across the organization.
- Providing leadership and direction to various teams of data scientists and data analysts to execute the organization's data science strategy.
- Utilizing statistical and predictive models and participating in determining analytical methodologies and presenting strategies to assess situations and forecast future outcomes.
- Applying scientific rigor and statistical techniques to analyze large datasets, utilizing advanced statistical methods, such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining.
- Developing and approving hypotheses through the use of a range of advanced numerical, statistical, logical, or computational procedures, such as probability models, AI, data mining, pattern recognition, data representation, predictive analysis, data warehousing, and artificial intelligence.
- Documenting assigned project components, including business objectives, data assembly and processing, driving methodologies, final calculation, detailed set of results, and analytical metrics.
- Assisting in developing materials to explain project findings.
- Raising issues and roadblocks as they occur.
- Collaborating with colleagues and may interact with external partners to provide routine information related to assigned projects.
About the Ideal Candidate
We are seeking a highly experienced and skilled Senior Manager Data Scientist with a strong background in data science, analytics, and leadership. The ideal candidate will have:
- A Master's or Ph.D. degree in a quantitative field, such as statistics, mathematics, computer science, or a related field.
- At least 8 years of experience in data science, analytics, or a related field, with a minimum of 3 years of experience in a leadership role.
- Proven track record of driving business outcomes through data-driven insights and recommendations.
- Strong technical skills in statistical modeling, machine learning, data mining, and data visualization.
- Excellent communication and leadership skills, with the ability to lead cross-functional teams and collaborate with stakeholders at all levels.
- Experience working with large datasets and advanced statistical software, such as R, Python, or SAS.
- Strong business acumen and understanding of the healthcare industry.
What We Offer
As a Senior Manager Data Scientist at Walgreens, you will have the opportunity to:
- Work in a dynamic and innovative environment with a talented team of data scientists and analysts.
- Contribute to the development of cutting-edge data science solutions that drive business growth and improve patient outcomes.
- Lead cross-functional teams and collaborate with stakeholders at all levels to drive business outcomes.
- Develop and implement advanced statistical models and machine learning algorithms to drive business insights and recommendations.
- Work with large datasets and advanced statistical software to analyze complex business problems.
- Participate in the development of the organization's data science strategy and roadmap.
- Have opportunities for career growth and professional development in a rapidly evolving industry.
USA Job Market Trends
The job market in the United States is constantly evolving, with various trends shaping the landscape. Some of the key trends include:
- Remote work and hybrid models: The COVID-19 pandemic has accelerated the adoption of remote work and hybrid models, which may continue to shape the job market in the future.
- Technology and digital skills: The demand for technology-related skills, such as coding, data analysis, and digital marketing, continues to grow.
- Healthcare and biotechnology: The pandemic has highlighted the importance of the healthcare sector, leading to continued growth in roles related to healthcare, pharmaceuticals, biotechnology, and clinical research.
- Renewable energy and sustainability: There is growing interest in renewable energy and sustainability practices, leading to growth in areas such as clean energy, environmental conservation, and green technology.
- E-commerce and logistics: The shift towards online shopping has driven demand for jobs in e-commerce platforms, supply chain management, and last-mile logistics.
- Cybersecurity: The growing reliance on digital infrastructure has made cybersecurity a critical concern, leading to a growing demand for experts in cybersecurity and data protection.
- Health and well-being: Companies are focusing more on employee well-being, leading to increased demand for roles related to mental health support, wellness programs, and work-life balance initiatives.
- Skilled trades and vocational roles: Skilled trades, such as electricians, plumbers, and mechanics, have seen a shortage of workers, providing opportunities for individuals interested in vocational careers.
- Diversity, equity, and inclusion (DEI): Organizations are placing more emphasis on developing diverse and inclusive work environments, leading to the emergence of roles focused on DEI initiatives.
- Gig economy and freelancing: The gig economy continues to grow, providing opportunities for individuals to work as freelancers, consultants, and independent contractors in various industries.
- Aging workforce and succession planning: The aging population has led to discussions about workforce planning and skills succession strategies in industries with a large percentage of older workers.
- Reskilling and upskilling: Lifelong learning and continuous skill development have become critical as industries evolve rapidly, with many individuals seeking opportunities to reskill or upskill to remain competitive in the job market.
Apply Now
If you are a motivated and experienced data science professional looking for a new challenge, we encourage you to apply for this exciting opportunity. Don't worry if you don't meet every single requirement – we value a great attitude and a willingness to learn above all. Submit your application today and join our team of innovators and leaders in the healthcare industry!
Apply Now