Data Scientist Sr

$183,581 - $211,600/Yr

Starbucks - Seattle, WA

Full-time - Mid Level

Remote - Seattle, WA

Food Services and Drinking Places

About the position

As a Senior Data Scientist at Starbucks, you will leverage your expertise in statistical and machine learning techniques to build models that effectively address various business needs. Your role will involve extracting data from diverse sources and conducting thorough exploratory data analysis, which includes cleansing, massaging, and aggregating data to ensure its quality and relevance. You will collaborate cross-functionally with other data scientists, statisticians, and business analysts to define business problems and implement effective solutions. Your insights will be crucial in connecting data-driven findings to business decision-making processes, guiding next steps in testing or research opportunities. In this position, you will also be responsible for developing processes that automate and scale insights, working closely with Business Managers and Architects to identify business requirements and expected outcomes. Establishing and fostering close collaboration between data and decision scientists, engineers, and business leadership teams will be essential to align on technical roadmaps for innovation. You will drive the creation of final insights packages and recommendations, leading presentations to communicate your findings effectively. Additionally, you will utilize advanced geospatial analysis tools to assess market potential, optimize site selection, and provide data-driven insights. This will ensure the implementation of effective retail location strategies that drive sales growth and enhance customer experience, all in alignment with Starbucks' overall business objectives. The role allows for telecommuting up to 40% per week, providing flexibility in your work schedule.

Responsibilities

• Use statistical and machine learning techniques to build models that address business needs.
• Extract data from various data sources and perform exploratory data analysis, cleansing, massaging, and aggregating data.
• Work cross-functionally with other data scientists, statisticians, and business analysts to define business problems and implement solutions.
• Connect insights to business decision-making options and next steps testing or research opportunities.
• Develop processes to automate and scale insights.
• Work with Business Managers and Architects to identify business requirements and expected outcomes.
• Establish and foster close collaboration between data and decision scientists, engineers, business, and leadership teams to align on technical roadmaps for innovation.
• Drive creation of final insights package and recommendations; lead presentations.
• Leverage advanced geospatial analysis tools to assess market potential, optimize site selection, and provide data-driven insights.

Requirements

• Master's degree in Statistics, Mathematics, Computer Science, Information Systems, Information Management, Engineering, or a related field, and 3 years of experience in a data science or related role; or Bachelor's degree in the same fields and 5 years of post-bachelor's, progressive experience in a data science or related role.
• 3 years of experience in performing exploratory data analysis to understand relationships and opportunities to influence outcomes.
• 3 years of experience working with predictive and statistical modeling, machine learning in all phases of the modeling pipeline.
• 3 years of experience in building and analyzing complex data sets from multiple data sources (both internally and externally).
• 3 years of experience in designing, developing, and evaluating data transformations to solve specific business problems.
• 3 years of experience in machine learning (Classification Regression, Unsupervised Learning, Semi Supervised learning), selecting and engineering features, and building, evaluating, and optimizing algorithms.
• 3 years of experience in programming using Python or R.
• 3 years of experience with Cloud platforms, including Azure, AWS, or GCP.
• 3 years of experience in data manipulation skills including cleaning and managing data with SQL or ETL.
• 2 years of experience working with distributed data processing frameworks, including Spark or Data Bricks, and languages, including Java, PySpark, or Scala.
• Retail and eCommerce experience.

Nice-to-haves

• Experience utilizing advanced spatial data analysis techniques.

Benefits

• 100% tuition coverage through the Starbucks College Achievement Plan.
• Health coverage with a variety of plans to choose from.
• Stock & savings programs like the equity reward program, Bean Stock.
• Flexible scheduling and opportunities for paid time off.