Logo of Huzzle

Home

Matches

Explore

Manage

Senior Data Scientist

image

Microsoft

11d ago

  • Job
    Full-time
    Senior & Expert Level
  • Science
    Data
  • Munich, +10
    Remote

AI generated summary

  • You need a relevant degree or equivalent experience, strong coding skills, project leadership, and expertise in AI frameworks. Familiarity with deploying AI solutions in the cloud is essential.
  • You will analyze data, develop and optimize machine learning models, ensure data integrity, collaborate across teams, and communicate insights to drive business performance improvements.

Requirements

  • Bachelor's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND business-focused data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).
  • OR master's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND business-focused data science experience.
  • OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND business-focused data science experience.
  • OR equivalent experience.
  • Experience leading complex projects, designing scalable solutions, and applying advanced techniques to solve business challenges. Strong coding, problem-solving, and communication skills.
  • Deep hands-on software engineering experience (e.g. Python, Scikit, PyTorch etc) with main established data science and generative AI frameworks.
  • Familiarity with building and deploying largescale AI solutions into production within a cloud environment.

Responsibilities

  • Leverage data science, AI and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders.
  • Acquire, prepare, and explore data through querying, visualisation, reporting techniques, and collaboration with other teams, ensuring data integrity.
  • Apply machine learning, generative AI and statistical analysis to develop models, train, optimise, and evaluate them, and communicate findings to stakeholders.
  • Test, review, and improve models by analysing performance, incorporating feedback, and contributing to the review process.
  • Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems and production.
  • Collaborate with customers and Microsoft teams to define business needs, create roadmaps for performance improvements, and influence stakeholders using storytelling and visual tools to drive solution value.

FAQs

Do we support remote work?

Yes, this role offers the flexibility to work up to 100% from home.

What qualifications are required for the Senior Data Scientist position?

A Bachelor's degree in a relevant field along with business-focused data science experience is required, or a Master's or Doctorate in the same fields is acceptable. Equivalent experience is also considered.

What kind of projects will I be working on?

You will be leading complex projects, designing scalable solutions, and applying advanced techniques to solve business challenges.

What programming languages and frameworks should I be familiar with?

Deep hands-on software engineering experience with Python and familiarity with machine learning frameworks like Scikit and PyTorch is expected.

Is experience in cloud environments necessary?

Yes, familiarity with building and deploying large-scale AI solutions into production within a cloud environment is required.

What skills are important for this role?

Strong coding, problem-solving, and communication skills, along with the ability to leverage data science and AI to drive business performance, are important for this role.

What is the team culture like at the Engineering & Architecture Group?

The team embraces a continuous learning and growth mindset, encourages diverse viewpoints, and values relentless collaboration and excellence.

Are there opportunities for professional development?

Yes, the team encourages a continuous learning and growth mindset, and offers opportunities for professional development.

Does Microsoft support diversity and inclusion?

Yes, Microsoft is committed to creating a culture of inclusion where everyone can thrive at work and beyond, valuing respect, integrity, and accountability.

How does the company approach Responsible AI?

The organization is committed to Responsible AI, helping customers to build and operate ethical, transparent, and trustworthy AI solutions.

image

Microsoft

Technology
Industry
10,001+
Employees
1975
Founded Year

Mission & Purpose

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. When we show up, we achieve more together. Microsoft operates in 190 countries and is made up of more than 220,000 passionate employees worldwide.