Senior Data Scientist - Fde

Microsoft Microsoft · Big Tech · Schiphol, NH +1 · Data Science

Senior Data Scientist role focused on co-engineering AI-powered, cloud-based solutions with customers, developing statistical techniques for data analysis, and building scalable operational models. The role involves data acquisition, preparation, model evaluation tied to business outcomes, and staying current with industry trends.

What you'd actually do

  1. 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.
  2. You will evaluate your team’s models using metrics tied to genuine business outcomes 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.
  3. 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.
  4. 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.

Skills

Required

  • Data Science
  • Mathematics
  • Statistics
  • Econometrics
  • Economics
  • Operations Research
  • Computer Science
  • data management
  • statistical techniques
  • customer-facing environments

Nice to have

  • cloud-based solutions
  • AI-powered solutions

Other signals

  • co-engineer solutions
  • build AI-powered, cloud-based solutions
  • develop statistical techniques to analyze data and find patterns
  • develop operational models that run at scale