Microsoft Data Science 

United States 

640827693

Response and Resolution:

• You will acquire the data necessary for your project plan and develop usable data sets for modeling. You’ll also update internal best practices for data collection and preparation and contribute to data integrity conversations with customers.
• You will evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.
• You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You’ll also write extensible code that spans multiple features and develop expertise in proper debugging techniques.
• You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also apply a customer-oriented focus to understand their needs and help drive realistic customer expectations.

Readiness:

• Understands relationship between selected models and business objectives. Ensures clear linkage between selected models and desired business objectives. Assesses the degree to which models meet business objectives. Defines and designs feedback and evaluation methods. Coaches and mentors less experienced engineers as needed. Presents results and findings to senior customer stakeholders.

Product/Process Improvement:

• Writes efficient, readable, extensible code from scratch that spans multiple features/solutions. Develops technical expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects. Understands the causes of common defects and uses best practices in preventing them from occurring. Collaborates with other teams and leverages best practices from those teams into work of their own team. Mentors and guides less experienced engineers in better understanding coding and debugging best practices. Builds professional-grade documents for knowledge transfer and deployment of predictive analytic models. Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development.

Business Integration:

• Collaborates with end customer and Microsoft internal cross-functional stakeholders to understand business needs. Formulates a roadmap of project activity that leads to measurable improvement in business performance metrics over time. Influences stakeholders to make solution improvements that yield business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Exemplifies and enforces team standards related to bias, privacy, and ethics.

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