Data Scientist III

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What you'll do...

Position: Data Scientist III

Job Location: 10500 NE 8th Street (13th floor), Bellevue, WA 98004

Duties: Participate in large data analytics project teams by serving as a technical lead for analytics projects; working with project teams and business partners to determine project goals; developing contingency plans for data analysis; determining modeling based on business needs; gathering data and developing reports as needed; utilizing business knowledge to ensure data supports project goals; analyzing data based on identified variables; reviewing data results to ensure accuracy; and communicating results and insights to the project team and business partners. Present data insights and recommendations to key stakeholders by developing insights based on data analysis; applying analytical results to project goals; identifying trends and key insights; translating results into business actions; and presenting insights and recommendations to key stakeholders. Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, and process flowcharts) to ensure solutions are leveraged for future projects; building and maintaining a library of reusable algorithms for future use; ensuring developed code is documented; and coaching and mentoring analysts across the division and project teams. Develop analytical models to drive analytics insights by gathering data from internal and external sources; evaluating data usability based on project goals; synthesizing data into large datasets to support project goals; developing statistical models and computational algorithms to analyze data; utilizing the analytics project lifecycle process to drive predictive modeling; coding, testing, and maintaining analytical software tools; identifying trends, patterns and discrepancies in data; training statistical models for replication for future projects; and presenting data insights and recommendations to key stakeholders. Demonstrate up-to-date expertise and apply this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provide and support the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.

Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology Engineering (any), or related field and 2 years of experience in an analytics or related field.

Skills required: Experience with Python for model building and development. Experience with Machine Learning for driving business. Experience with NLP and deep learning for driving business. Experience with data analysis using