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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.
• Promote and advocate value of advanced analytics to solve business problems within the organization.

Telecommuting permitted up to 100% from anywhere in the U.S.

Full time employment, Monday -- Friday, 40 hours per week. Pay Range: $171,600 to $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 2 years of related work experience.

Must have 2 years of experience in each of the following:

• Performing exploratory data analysis to understand relationships and opportunities to influence outcomes.
• Working with predictive and statistical modeling, machine learning in all phases of the modeling pipeline
• Building and analyzing complex data sets from multiple data sources (both internally and externally).
• Designing, developing, and evaluating data transformations to solve specific business problems.
• Machine learning (Classification Regression, Unsupervised Learning), selecting and engineering features, and building, evaluating, and optimizing algorithms.
• Programming in Python or R.
• Querying and storing data on Cloud platforms, including Azure, AWS, or GCP.

Must have 1 year of experience in each of the following:

• Working with distributed data processing frameworks including Spark or Data Bricks.
• Working with languages including Java, PySpark, or Scala.
• Data manipulation, including cleaning and managing data with SQL or ETL.

Must be willing and able to travel domestically up to 5%.

Must be willing and able to travel internationally up to 5%.

Company: Starbucks Coffee Company

Location: Seattle, WA

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TO APPLY: https://starbucks.taleo.net/careersection/1000222im3/jobdetail.ftl?job=240056508&lang=en