Senior Data Scientist at Microsoft

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

0.0

Posted On

05 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Python, AI, Embedding Models, Deep Neural Nets, Statistical Techniques, Model Evaluation, Data Analysis, Privacy Compliance, Product Innovation, Collaboration, Technical Leadership, Experiment Design, Architecture Design, Customer Engagement

Industry

Software Development

Description

Overview Are you a real Machine Learning enthusiast? Does the magic of the data world fascinate you? Here at Microsoft Search we have been working on Machine Learning much before it became cool to do so. Here we are solving real world problems to empower millions of people around the globe. Microsoft Search powers delightful and relevant experiences for enterprise users to cater to their overall information need. As part of this team, you would get a chance to work on the core search stack powering all Copilot Search scenarios. We’re looking for a Senior Data Scientist with deep expertise in applied AI and a strong track record of delivering products built using ML models at scale. The candidate should have hands on experiences with building machine learning models over large scale data. Experience with latest advancements in embedding models is preferred. This is a unique opportunity to build the next generation search stack in Microsoft.You’ll join a fast-paced, collaborative environment that brings together talent from across Microsoft—including Microsoft Research—to push the boundaries of what’s possible with State-of-the-Art Embedding Models, Cross Encoder Models, Deep Neural Nets as well as classical GradientBoostedTree (GBT) models. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Advance the science: Design and run experiments, define and validate metrics, and develop ML pipelines and models in areas like encoder-decoder models, cross-encoder models. You will be working with large scale data and derive insights out of it while championing Privacy and Compliance. As a senior member in the team, you are expected to work with different parts of the stack as well as different team members to drive optimum designs and architectures. Drive product innovation: Partner with Engineering, PM, and Design to translate product vision and industry trends into scalable, reliable, and agile architecture. Collaborate across Microsoft: Work closely with Microsoft Research, Azure, AI platform teams, and product groups to bring cutting-edge AI into real-world applications. Champion customer impact: Engage with customers and internal teams to deeply understand pain points and drive improvements that matter. Lead and mentor: Provide technical leadership to junior scientists and engineers, and scale your learnings across the broader product group. Define success: Influence thorough model evaluation processes and generate insights from model experimentation. Establish and evolve success metrics that reflect platform and product growth. Stay ahead: Keep up with the latest research and foster a thriving applied science culture. Publishing is encouraged, though not required. Qualifications Required Qualifications: Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 3+ years of Python coding skill. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Experience in building large scale embedding based models and their applications. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Design and run experiments, develop ML pipelines and models, and collaborate with various teams to drive product innovation. Engage with customers to understand their pain points and lead junior scientists and engineers.