Head of Data Science, AI Acceleration studio

Key Skills

Aartificial intelligence, Azure, C# Programming, C++, Data Analysis, Data science techniques, Deep Learning, Effective communication skills, Large Language Models - LLMs, Leadership, Machine learning techniques, Mentoring, MLOps tools, People management, Python Programming, PyTorch, Statistics, TensorFlow, Writing

Job Description

Overview

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to imagine and build new AI solutions to complex problems?

The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.

As a part of ISE, at the AI Acceleration Studio we work closely with senior executives and cross-functional teams as we bring design, data science, and engineering to jointly develop cloud-based solutions that have high impact and can accelerate the organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more. We pride ourselves on making contributions to open source and making our platforms easier to use.

In this role, you will be working with engineers and designers, while managing a data science group to apply your skills, perspectives, and creativity to trailblaze new ground and build first-of-a-kind AI solutions.

We are hiring a Head of Data Science with broad experience and deep expertise in applying machine learning to real-world problems. You will develop and communicate hypotheses, analyses, results, ecosystem trends and ultimately innovative solutions to various stakeholders. You will work cross-functionally with several teams including engineering crews, product teams, and program managers.

Our team is committed to embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact the world!

Qualifications

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years 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 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience. 

• 10+ years people-management experience, with a track record of building and developing successful data science teams.
• 12+ years customer-facing, global project-delivery experience, including exposure to international business development and complex partnership structures, demand-generation concepts, and presales.
• Demonstrated current or recent coding, debugging, and engineering skills in programming languages such as C++ , C# or Python. 

• Expertise in deep learning and generative AI models with hands-on experience applying them in real-world scenarios.
• Knowledge of advancements and emerging research in foundation models, including large language models (LLMs).
• Strong team-player, good communicator, embrace challenges, and keen to learn.
• Strong oral and written communication skills, with particular emphasis on customers and senior stakeholders.

Preferred Qualifications: 

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 15+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)