Starbucks · 1 day ago
senior data scientist - Digital Data Science (Seattle, WA)
Seattle, WA
Full-time
Hybrid
Senior Level
$128K/yr - $214K/yr
5+ years expStarbucks is a leading coffeehouse brand known for its commitment to connection and extraordinary leadership. They are seeking a Senior Data Scientist to be part of their Data & Analytics organization, focusing on driving strategic decision-making and ML/AI capabilities across various business domains. The role involves leading the design and development of scalable data science solutions and mentoring team members on best practices.
Food and BeverageCoffeeRestaurantsTea
Responsibilities
Lead the design and development of scalable data science solutions from the start to the finish by utilizing machine learning, and statistical analysis
Build scalable processes for cleaning, aggregating, and loading data
Understanding business initiatives, challenges, questions, concerns, or ideas, transforming them into successful data science solutions, and monitor data science metrics and KPIs
Mentor data analysts & data scientists on best practices, processes, frameworks, and KPIs
Contribute to project planning, and assist the team with estimations, timelines, and prioritization
Assists in developing the analytical roadmap, data, and technology strategy
Own the end-to-end lifecycle of AI/ML solutions, from ideation and prototyping to production deployment, ensuring robust offline evaluation and real-time performance monitoring
Qualification
Required
Education: BS+ with a concentration in a quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline. Masters preferred
Minimum of 5+ years of industry experience in data and analytics work
Strong problem-solving skills with the ability to influence leadership teams at different levels
Significant experience working with predictive and statistical modeling, machine learning, and strong expertise in all phases of the modeling pipeline
Strong SQL, databases, and ETL / ELT skills required including cleaning and managing data
Advanced competency and expertise in Python, R, or some combination
Demonstrated track record of delivering AI/ML models into production with measurable business impact, including expertise in evaluation techniques (A/B testing, lift analysis) and model governance
Experience working with distributed data processing frameworks such as Spark and Databricks, and languages such as Java, PySpark, or Scala
Strong collaboration instincts – desire & ability to work with partners to achieve the best outcome for the business
Excellent communication, presentation, and storytelling skills. The role requires effective communication with colleagues, stakeholders, and leaders from diverse backgrounds
Proven ability to manage multiple, time-sensitive projects and competing priorities simultaneously to drive projects to completion with minimal guidance and high attention to details
Preferred
Experience building personalization and recommendation systems (e.g., collaborative filtering, content-based, or hybrid approaches) for digital platforms or mobile apps
Familiarity with ranking algorithms, reinforcement learning, and contextual bandits for optimizing customer experiences
Hands-on experience with model deployment in production environments, including monitoring, retraining, and performance optimization at scale
Strong understanding of offline and online evaluation techniques for recommendation systems (e.g., precision/recall, NDCG, A/B testing)
Knowledge of feature engineering for behavioral and transactional data, and experience leveraging real-time data streams for model updates
Benefits
Medical
Dental
Vision
Basic and supplemental life insurance
Short-term and long-term disability
Paid parental leave
Family expansion reimbursement
Paid vacation from date of hire
Sick time (accrued at 1 hour for every 25 hours worked)
Eight paid holidays
Two personal days per year
401(k) retirement plan with employer match
Discounted company stock program (S.I.P.)
Starbucks equity program (Bean Stock)
Incentivized emergency savings
Financial well-being tools
100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan
Student loan management resources
Access to other educational opportunities
Backup care
DACA reimbursement
Company
Starbucks
Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items.
10001+ employees
H1B Sponsorship
Starbucks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (208)
2024 (127)
2023 (130)
2022 (172)
2021 (146)
2020 (149)
Funding
Current Stage
Public CompanyTotal Funding
$2.65BKey Investors
Elliott Management Corp.Pershing Square Capital Management
2025-05-06Post Ipo Debt· $1.75B
2024-07-19Post Ipo Equity
2018-10-10Post Ipo Equity· $900M
Leadership Team
Brian R. Niccol
Chairman and Chief Executive Officer
Cathy R. Smith
CFO
Recent News
2026-02-07
2026-02-07
2026-02-07
Company data provided by crunchbase