Job Information
Starbucks Coffee Company Data Scientist Sr in Seattle, Washington
Data Scientist Sr:
- Use statistical, 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 the business requirements and the expected outcome.
- 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; leads presentation.
- Leverage advanced geospatial analysis tools to assess market potential, optimize site selection, and provide data-driven insights, ensuring the implementation of effective retail location strategies that drive sales growth and enhance customer experience in alignment with overall business objectives.
Telecommuting permitted up to 40% per week.
Full time employment, Monday -- Friday, 40 hours per week. Pay Range: $183,581 - $211,600 per year.
From free coffee to competitive pay, Starbucks is proud to offer a comprehensive compensation and benefits package to our eligible part-time and full-time partners. Benefits include 100% tuition coverage through our Starbucks College Achievement Plan, health coverage with a variety of plans to choose from, and stock & savings programs like our equity reward program, Bean Stock. What's more, Starbucks offers flexible scheduling and opportunities for paid time off. Visit starbucksbenefits.com for details.
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MINIMUM 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 Statistics, Mathematics, Computer Science, Information Systems, Information Management, Engineering, or a related field, and 5 years of post-bachelor's, progressive experience in a data science or related role.
Must have 3 years of experience in performing exploratory data analysis to understand relationships and opportunities to influence outcomes.
Must have 3 years of experience working with predictive and statistical modeling, machine learning in all phases of the modeling pipeline.
Must have 3 years of experience in building and analyzing complex data sets from multiple data sources (both internally and externally).
Must have 3 years of experience in designing, developing, and evaluating data transformations to solve specific business problems.
Must have 3 years of experience in machine learning (Classification Regression, Unsupervised Learning, Semi Supervised learning), and selecting and engineering features, and building, evaluating, and optimizing algorithms.
Must have 3 years of experience in programming using Python or R.
Must have 3 years of experience with Cloud platforms, including Azure, AWS, or GCP.
Must have 3 years of experience in data manipulation skills including cleaning and managing data with SQL or ETL.
Must have 2 years of experience working with distributed data processing frameworks, including Spark or Data Bricks, and languages, including Java, PySpark, or Scala.
Must have retail and eCommerce experience.
Must have experience utilizing advanced spatial data an