Principal/ Senior Data Scientist - Fde

Microsoft Microsoft · Big Tech · United Kingdom · Data Science

This role focuses on applying data science and AI to solve complex business challenges for large organizations, developing and deploying production-ready solutions end-to-end. The role involves data acquisition, model development, experimentation, evaluation, and coaching, with a strong emphasis on delivering measurable business impact and maintaining high standards of quality and trust.

What you'd actually do

  1. You will oversee acquisition of the data sets necessary for your project delivery and ensure data is properly formatted and described. You will address any gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.
  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 in best practices. You’ll also write extensible code that spans multiple features and develops 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 commit to a customer-oriented focus by acknowledging their needs and offering customer pragmatic solutions that align with their data capabilities.
  5. As the expert data scientist, you will also coach engineers and cross-disciplinary partners in data science best practices and scale knowledge within the cross discipline team.

Skills

Required

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND demonstrated years of data-science experience
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND demonstrated years of data-science experience
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND demonstrated years of data science experience
  • equivalent experience
  • Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end.

Nice to have

  • managing structured and unstructured data
  • applying statistical techniques
  • reporting results
  • data discovery
  • model development
  • running experiments
  • evidence-based decisions
  • multidisciplinary crews
  • engineers
  • product managers
  • domain experts
  • full lifecycle
  • deployed solutions
  • AI
  • data science
  • development lifecycle
  • idea to production
  • security
  • quality
  • trust
  • messy, real-world datasets
  • scalable, production-ready solutions
  • business strategy
  • customer outcomes
  • leading global organizations
  • industries
  • latest advancements in AI and data science
  • solve problems at scale
  • growth mindset
  • inspire excellence
  • unique viewpoints
  • authentic selves
  • positive impact technology can have on communities
  • making a difference in the world
  • informal and flexible work environment
  • health
  • wellness
  • financial future
  • competitive package
  • wide range of benefits

What the JD emphasized

  • production-ready solutions
  • measurable business impact
  • end-to-end
  • operational models that run at scale
  • customer pragmatic solutions

Other signals

  • deploying models
  • production-ready solutions
  • measurable business impact
  • end-to-end solutions