Introduction to Our Company
At Starbucks, we have always strived to be a different kind of company, one that not only celebrates coffee and the rich tradition but also brings a sense of community. We are known for developing exceptional leaders who share this passion and are guided by their leadership to serve others. As a global coffee company, we are committed to making a positive impact on the environment, our customers, and our employees. Our mission is to inspire and nurture the human spirit, one person, one cup, and one neighborhood at a time.
About the Role
We are seeking an experienced Senior Data Scientist to join our Customer Testing Analytics team. As a Senior Data Scientist, you will be an experimenter, using Starbucks' data to design and measure large-scale customer-level experiments and in-market tests to determine the business impact from our most critical initiatives. In this broad and dynamic role, you will develop and apply statistical modeling tools, techniques, and datasets to identify causal drivers of business impact. Your analysis will directly inform broader rollout strategies for our customer and retail digital programs.
Key Responsibilities
- Influence and support our largest strategic initiatives by providing guidance and expertise to help business partners in how to effectively measure and validate our most critical business hypotheses.
- Collaborate to develop cross-functional learning plans by partnering with technology, operations, marketing, and external vendors to develop comprehensive learning plans, aligning program objectives to specific and quantifiable partner, customer, and business insights.
- Deliver complex analytical projects by developing fit-for-purpose test versus control models and other descriptive and inferential analysis to determine the causal effect on sales, transactions, margin, or loyalty from specific interventions and inform go/no-go decisions.
- Lead data preparation of complex datasets and ensure accurate analysis setup by extracting, transforming, and blending a wide variety of data sets like customer, transactional, and clickstream datasets.
- Create compelling stories supported by data by working under consultative or self-directed guidance to produce significant insights and narratives to support testing recommendations and presenting these stories both verbally and visually to varying degrees of business partners, up to and including senior management.
- Lead and evangelize the experimental methodology by being a role model for experiment design and measurement, developing and spreading best practices across business partners.
- Embody Starbucks Mission and Values by bringing courage, care, and collaboration to all interactions, supporting the Starbucks Mission and Values, and demonstrating these leadership principles for the team, providing mentorship and support to junior colleagues.
Essential Qualifications
To be successful in this role, you will need:
- A Bachelor's degree with a quantitative emphasis, such as Statistics, Data Science, Mathematics, Operations Research, Computer Science, Economics, Marketing Analytics, or a related field.
- 3+ years of experience in data analysis or a related field, with a strong background in statistical modeling and data analysis.
- Strong data querying skills (SQL) and advanced proficiency in R or Python.
- Experience handling data at scale via Spark (PySpark, SparkR, Scala, or Java) or other sources to generate business insights.
- Familiarity with graphical analysis and data visualization (ggplot2, seaborn, matplotlib, Plotly).
- Solid knowledge of A/B testing and inferential statistics (sample size determination/power analysis, hypothesis testing, regression, etc.).
- Some experience with event tracking for web and mobile applications, using tools like Google Analytics, mParticle, and similar platforms to collect and analyze clickstream data accurately.
- Strong collaboration impulses, with a desire and ability to work with partners to achieve the best outcome for the business.
- Excellent communication, presentation, and storytelling skills, with the ability to effectively communicate with colleagues, partners, and leaders from diverse backgrounds.
Preferred Qualifications
While not required, the following qualifications are preferred:
- Experience with industry-standard A/B testing tools and technologies, such as Google Optimize, Optimizely, Apptimize, or Adobe/Mastercard Test and Learn software.
- Knowledge of cloud-based data platforms, such as Amazon Web Services (AWS) or Microsoft Azure.
- Experience with agile development methodologies and version control systems, such as Git.
- Certification in data science or a related field, such as Certified Data Scientist (CDS) or Certified Analytics Professional (CAP).
Skills and Competencies
To be successful in this role, you will need to possess the following skills and competencies:
- Strong analytical and problem-solving skills, with the ability to analyze complex data sets and develop insights that inform business decisions.
- Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
- Strong collaboration and teamwork skills, with the ability to work with cross-functional teams to achieve business objectives.
- Ability to work in a fast-paced environment, with multiple priorities and deadlines.
- Strong attention to detail, with a focus on delivering high-quality results.
Career Growth Opportunities and Learning Benefits
At Starbucks, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, you will have the opportunity to:
- Develop your skills and expertise in data science and analytics, with access to training and development programs.
- Work on complex and challenging projects, with the opportunity to make a significant impact on the business.
- Collaborate with cross-functional teams, including technology, marketing, and operations.
- Participate in industry conferences and events, with the opportunity to network with other professionals in the field.
Work Environment and Company Culture
At Starbucks, we are committed to creating a diverse and inclusive work environment that reflects the communities we serve. Our company culture is built on the following values:
- Courage: We have the courage to take risks and challenge the status quo.
- Care: We care deeply about our customers, our employees, and our communities.
- Collaboration: We collaborate and work together to achieve our goals.
- Integrity: We operate with integrity, transparency, and honesty.
Compensation, Perks, and Benefits
As a Senior Data Scientist at Starbucks, you will be eligible for a competitive salary and benefits package, including:
- A salary range of $120,000 - $150,000 per year, depending on experience.
- A comprehensive benefits package, including medical, dental, and vision insurance, as well as a 401(k) retirement plan.
- A generous paid time off policy, including vacation days, sick leave, and holidays.
- Access to employee discounts and perks, including free coffee and food, as well as discounts on merchandise and services.
Conclusion
If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Senior Data Scientist at Starbucks, you will have the opportunity to work on complex and challenging projects, develop your skills and expertise, and make a significant impact on the business. Apply today and join our team of passionate and dedicated professionals who are committed to making a positive impact on the world.
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