About Us
At Starbucks, we strive to be an alternative kind of company. One that not only celebrates coffee and the rich tradition, but also brings a sense of connection. We are known for creating remarkable leaders who share this energy and are driven by their passion to serve others. Our mission is to inspire and nurture the human spirit – one person, one cup, and one neighborhood at a time.
Job Overview
We are seeking an experienced Full Stack Data Scientist to join our Customer Testing Analytics team. As a key member of our team, you will be responsible for designing and executing large-scale customer-level trials and in-market tests to determine the business impact of our most critical initiatives. You will work closely with cross-functional teams to develop and implement data-driven strategies that drive business growth and customer engagement.
Key Responsibilities
- Impact and support our biggest key initiatives - You will provide guidance and expertise to help business partners in how to effectively measure and validate our most critical business hypotheses; You will support the full range of testing across the business, from ideation and exploratory data analysis through to estimation of sales and conversion lift for drives at scale.
- Collaborate to develop cross-functional learning plans - You will work with innovation, operations, marketing, and external partners to develop comprehensive learning plans, aligning program objectives to specific and quantifiable partner, customer, and business insights.
- Convey complex analytical insights - You will develop fit-for-purpose test versus control models and other illustrative and inferential analysis to determine the causal effect on sales, conversions, margin, or loyalty from specific interventions and inform go/no-go decisions.
- Lead data preparation of complex datasets and ensure accurate analysis setup - You will be responsible for the extraction, cleaning, and blending of a wide range of data sets like customer, conditional, and clickstream data; To ensure accurate trial setup, you will collaborate across functional boundaries and navigate the intricacies of our technology stack and integrations with external partners.
- Create compelling stories supported by data - You will work under consultative or self-started leadership to deliver key insights and stories to inform testing recommendations; You will present these stories both verbally and visually to varying degrees of business partners, up to and including senior leadership.
- Lead and evangelize the analytical approach - You will be a role model for trial planning and estimation, developing and disseminating best practices across your business partners.
- Model Starbucks Mission and Values - You will bring courage, care, and collaboration to all of your interactions, supporting the Starbucks Mission and Values; You will embody these leadership standards for the team, and provide mentorship and support to junior colleagues.
Requirements
We're looking for a highly motivated and experienced data scientist with a strong background in quantitative analysis and a passion for driving business growth through data-driven insights. The ideal candidate will have:
Essential Qualifications
- Four-year degree with quantitative emphasis. Statistics, Data Science, Mathematics, Operations Research, Computer Science, Economics, Marketing Research, or related field.
- 3+ years' experience in data analysis or related field
- Strong data querying skills (SQL) and high-level proficiency in R or Python
- Experience handling data at scale through tools like Hadoop (PySpark, SparkR, Scala, or Java) or other sources to produce business insights.
- Capability with data visualization and data storytelling (ggplot2, seaborn, matplotlib, Tableau).
- Strong knowledge of A/B testing and inferential statistics (test size assurance/power analysis, hypothesis testing, regression, etc.).
- Some experience in event labeling for web and mobile applications, using tools like Google Analytics, mParticle, and similar platforms to collect and analyze clickstream data accurately.
Preferred Qualifications
- Solid collaboration impulses - want and ability to work with partners to achieve the best outcome for the business.
- Excellent communication, presentation, and storytelling skills. The job requires effective communication with colleagues, partners, and leaders from diverse backgrounds.
- Demonstrated ability to manage multiple, time-sensitive tasks and competing priorities simultaneously to drive projects to completion with minimal direction and high regard for details.
- Knowledge of industry-standard A/B testing tools and technologies, such as Google Optimize, Optimizely, Apptimize, and so on, or Well-suited/Mastercard Test and Learn software strongly preferred.
Career Growth Opportunities and Learning Benefits
We offer a range of opportunities for career growth and learning, including:
- Professional development programs to help you build new skills and advance your career.
- Access to cutting-edge technology and tools to help you stay up-to-date with the latest trends and innovations.
- Collaborative and dynamic work environment that encourages innovation and creativity.
- Opportunities to work with cross-functional teams and leaders to drive business growth and customer engagement.
Work Environment and Company Culture
We are committed to creating a diverse and inclusive work environment that values and respects the contributions of all employees. Our company culture is built on a foundation of:
- Courage: We encourage our employees to take risks, challenge assumptions, and speak up with new ideas.
- Care: We care about our employees, customers, and communities, and strive to make a positive impact in everything we do.
- Collaboration: We believe that collaboration and teamwork are essential to driving business growth and customer engagement.
Compensation, Perks, and Benefits
We offer a competitive compensation package, including:
- Salary: $26/hour
- Benefits: Comprehensive health insurance, 401(k) matching, and paid time off.
- Perks: Free coffee, flexible work arrangements, and opportunities to work with cutting-edge technology.
How to Apply
If you're a motivated and experienced data scientist with a passion for driving business growth through data-driven insights, we'd love to hear from you! Please apply through our website or email your resume and cover letter to [insert contact information].
Equal Employment Opportunity
We are an equal employment opportunity employer and welcome applications from diverse candidates. We are committed to creating a workplace that is inclusive and respectful of all employees, and we strive to make our hiring process accessible to all candidates. If you require accommodations during the application process, please let us know and we will do our best to support you.
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