Experienced Data Scientist for Starbucks - Unlocking Business Insights with Data-Driven Decision Making at $25/Hour

Introduction to Starbucks and Our Mission

At Starbucks, we've always been driven by a passion to be a different kind of company. One that not only celebrates coffee and the rich tradition, but also brings a sense of community and connection. We're known for developing extraordinary leaders who share this passion and are guided by their commitment to serving others. As a global leader in the coffee industry, we're dedicated to making a positive impact on the communities we serve. Our mission is to inspire and nurture the human spirit - one person, one cup, and one neighborhood at a time.

Job Overview

We're seeking an experienced Data Scientist to join our team, working cross-functionally with data engineers, business analysts, and external vendors to help Starbucks make better decisions by leveraging data and analytics. As a Data Scientist on our team, you'll have the opportunity to work on complex projects, develop predictive models, and drive business growth through data-driven insights. If you're passionate about data science and want to be part of a dynamic team that's shaping the future of the coffee industry, we want to hear from you.

Key Responsibilities

• Extract data from various databases, perform exploratory data analysis, and develop predictive models to drive business insights
• Determine analysis approach to solve business problems, incorporating machine learning algorithms where appropriate
• Utilize scaling and automation to data preparation methods, ensuring efficient and effective data processing
• Translate model results into actionable insights, presenting findings to both technical and non-technical stakeholders through visualization, clear tables, and compelling presentations
• Collaborate with cross-functional teams to identify business problems, develop solutions, and implement data-driven strategies
• Stay up-to-date with industry trends, emerging technologies, and new tools, applying this knowledge to continuously improve our data science capabilities

Essential Qualifications

• Bachelor's degree in a quantitative discipline, such as Computer Science, Mathematics, Engineering, Economics, or a related field
• Minimum of 2+ years of industry experience in data science, with a strong foundation in predictive and statistical modeling, machine learning, and data analysis
• Experience building complex datasets from various data sources, both internal and external, with strong SQL, database, and ETL skills
• Advanced proficiency in Python, R, or other programming languages, with the ability to apply data science concepts to multidisciplinary business principles and practices
• Excellent communication and interpersonal skills, with the ability to instruct others on statistical/machine learning techniques and communicate complex ideas to both technical and non-technical stakeholders

Preferred Qualifications

• Experience working on cloud platforms, such as Azure or AWS, with a strong understanding of cloud-based data science tools and technologies
• Knowledge of data visualization tools, such as Tableau, Power BI, or D3.js, with the ability to create interactive and dynamic visualizations
• Experience with agile development methodologies, such as Scrum or Kanban, with a strong understanding of iterative and incremental development principles
• Strong business acumen, with the ability to understand business problems and develop data-driven solutions that drive business growth and profitability

Career Growth Opportunities and Learning Benefits

At Starbucks, we're committed to helping our partners grow and develop their careers. As a Data Scientist on our team, you'll have access to a wide range of training and development opportunities, including:

• Professional development programs, such as data science certifications, conferences, and workshops
• Mentorship opportunities, with experienced data scientists and leaders who can provide guidance and support
• Cross-functional training, with the opportunity to work on projects and collaborate with teams across the organization
• Access to cutting-edge tools and technologies, with the opportunity to work with emerging technologies and innovative solutions

Work Environment and Company Culture

At Starbucks, we're proud of our company culture, which is built on a foundation of respect, inclusivity, and diversity. We believe that our partners are our greatest asset, and we're committed to creating a work environment that's supportive, collaborative, and empowering. As a Data Scientist on our team, you'll be part of a dynamic and innovative team that's passionate about data science and committed to making a positive impact on the business.

Compensation, Perks, and Benefits

We offer a competitive salary and benefits package, including:

• A competitive hourly rate of $25/hour
• Comprehensive health insurance, including medical, dental, and vision coverage
• 401(k) matching program, with a generous company match
• Paid time off, including vacation days, sick leave, and holidays
• Access to exclusive employee discounts, including discounts on Starbucks products and services

Conclusion

If you're passionate about data science and want to be part of a dynamic team that's shaping the future of the coffee industry, we want to hear from you. Apply today to join our team as a Data Scientist and take the first step towards an exciting and rewarding career with Starbucks.

We're committed to creating a diverse and inclusive work environment that reflects the communities we serve. We believe that diversity and inclusion are essential to our success, and we're dedicated to attracting, retaining, and developing talented partners from all backgrounds.

Qualified candidates with criminal records will be considered for employment in a manner consistent with all applicable laws. Starbucks is an equal opportunity employer, and we welcome applications from qualified candidates with disabilities.

Apply now and join our team of passionate and innovative data scientists who are driving business growth and profitability through data-driven insights.