Senior Data Scientist

Microsoft Microsoft · Big Tech · Sydney, NSW, Australia +2 · Data Science

Senior Data Scientist role within Microsoft's Industry Solutions Engineering team, focusing on developing AI and cloud-based solutions for customers. The role involves data acquisition, modeling, evaluation, and customer-facing project delivery to solve complex business challenges.

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

  • Doctorate or Master's or Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • Data science experience (managing structured and unstructured data, applying statistical techniques and reporting results)
  • Customer-facing, project-delivery experience, professional services, and/or consulting experience

Nice to have

  • Advanced degree with more years of experience
  • Travel up to 25%

What the JD emphasized

  • customer-facing
  • project-delivery
  • consulting experience
  • data science experience
  • modeling techniques
  • operational models that run at scale

Other signals

  • customer-facing
  • AI solutions
  • data science
  • modeling
  • cloud-based solutions