Introduction to Starbucks and Our Mission
At Starbucks, we have always been driven by a passion to be a different kind of company. One that not only celebrates coffee and the rich tradition it embodies but also fosters a sense of community and connection among our customers and partners. Our mission is built on the foundation of creating exceptional leaders who share this passion and are guided by their commitment to serving others. As we continue to grow and evolve, we are seeking talented individuals to join our team and contribute to our legacy of excellence.
About the Role: Data Scientist
We are currently seeking an experienced Data Scientist to join our Information, Analytics, Insights, and Business Operations team. As a Data Scientist, you will have the opportunity to work collaboratively with cross-functional teams, including data engineers, business analysts, and external vendors, to help Starbucks make informed decisions by leveraging data and analytics. Your expertise in predictive modeling, automating ETL processes, and designing and building analytical models using structured or unstructured data will be invaluable in driving business outcomes.
Key Responsibilities:
- Extract data from various databases and perform exploratory data analysis, data cleansing, and data aggregation.
- Determine the analytical approach to solve business problems and apply machine learning algorithms where appropriate.
- Utilize scaling and automation to improve data preparation methods.
- Translate model results into actionable insights that are easily digestible by end-users through visualization, clear tables, and informative presentations.
- Support both technical and non-technical end-users in understanding and interpreting the analysis.
Essential Qualifications:
To be successful in this role, you will need to possess a strong educational foundation in a quantitative discipline, such as mathematics, computer science, engineering, economics, or a related field. A minimum of 2+ years of industry experience in data science is required, with a solid background in predictive and statistical modeling, machine learning, and data analysis.
Preferred Qualifications:
- Experience building complex data sets from multiple data sources, both internal and external.
- Strong SQL, database, and ETL skills, including data cleaning and management.
- Advanced proficiency and expertise in Python, R, or other platforms.
- Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities.
- Ability to teach others about statistical/machine learning techniques.
- Self-starter with attention to detail and results-oriented, able to work under minimal direction.
- Skilled in communicating complex ideas to both technical and non-technical stakeholders.
- Experience with cloud platforms like Azure, AWS, is preferred.
Skills and Competencies:
To excel in this role, you will need to possess a unique combination of technical, business, and interpersonal skills. These include:
Technical Skills:
- Proficiency in programming languages, such as Python, R, or SQL.
- Experience with data visualization tools, such as Tableau or Power BI.
- Knowledge of machine learning algorithms and statistical modeling techniques.
- Familiarity with cloud-based data platforms, such as Azure or AWS.
Business Acumen:
- Understanding of business operations and market trends.
- Ability to analyze complex data sets and identify insights that drive business outcomes.
- Knowledge of industry-specific challenges and opportunities.
Interpersonal Skills:
- Excellent communication and presentation skills.
- Ability to work collaboratively with cross-functional teams.
- Strong problem-solving and analytical skills.
- Ability to adapt to changing priorities and deadlines.
Career Growth Opportunities and Learning Benefits:
At Starbucks, we are committed to providing our partners with opportunities for growth and development. As a Data Scientist, you will have access to a range of training and development programs, including:
Professional Development:
- Opportunities for career advancement and professional growth.
- Access to training and development programs, including workshops and conferences.
- Mentorship and coaching from experienced leaders.
Education and Training:
- Tuition reimbursement and education assistance programs.
- Access to online courses and training programs.
- Opportunities for certification and professional development.
Work Environment and Company Culture:
At Starbucks, we are proud of our diverse and inclusive work environment. We believe that our partners are our greatest asset, and we are committed to creating a workplace that is welcoming and inclusive to all. As a Data Scientist, you will be part of a dynamic and collaborative team that values innovation, creativity, and teamwork.
Company Culture:
- A culture of inclusivity and diversity.
- A commitment to social and environmental responsibility.
- A focus on innovation and creativity.
- A collaborative and dynamic work environment.
Compensation, Perks, and Benefits:
We offer a competitive salary and benefits package, including:
Compensation:
- A competitive hourly rate of $25/hour.
- Opportunities for bonuses and incentives.
Benefits:
- Comprehensive health and dental insurance.
- 401(k) matching and retirement savings plan.
- Paid time off and vacation days.
- Access to employee discounts and perks.
Conclusion:
If you are a motivated and talented Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. As a member of our team, you will have the chance to work with a dynamic and collaborative group of professionals who are passionate about using data and analytics to drive business outcomes. Don't miss out on this opportunity to join our team and contribute to the success of Starbucks.
Apply today and become a part of something greater. We are an equal opportunity employer and welcome applications from diverse candidates. We are committed to creating a workplace that is inclusive and welcoming to all, and we look forward to hearing from you.
Apply Now