Do you enjoy solving problems looking at problems through a different lens and working closely with customers to innovate new solutions to complex problems Do you jump with excitement at the opportunity to identify trends and provide unique business solutions Do you want to join a team where learning about a new technology or solution is part of our work every day Then come join us 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 We work closely with our customers engineers to jointly develop code for cloud-based solutions that can accelerate their organization We work in collaboration with Microsoft product teams partners and open-source communities to empower our customers to do more with the cloud We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges This work involves the development of broadly applicable high-impact solution patterns and open-source software assets that contribute to the Microsoft platform We are hiring a Data Science Manager to lead a team of data scientists as they work with software engineering teams to help drive high-impact engineering projects with our customers and their partners transforming their missions using AI and other cloud-based solutions and services Each data scientist works closely with a dev lead to co-lead a cross-functional team of software engineers technical program managers and designers Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns As part of our team you will thrive in multidisciplinary environment working with a variety of technologies not just Microsoft technology You will solve exciting business problems contribute to open source and collaborate with Microsoft product teams You will enable the data scientists on your team to apply their skills creativity and aspirations to benefit our customers and advance their careers 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 You will oversee your team s data acquisition efforts ensuring they know how to use data collection and analysis technologies You ll also optimize data analysis delivery and efficiency within and across teams You will develop new predictive and prescriptive models with the goal of producing viable solutions and oversee data and statistical analyses across multiple teams You ll also hold teams accountable for thoroughly reviewing data analysis and modeling techniques and identify opportunities to reuse evaluation models You will give performance and quality feedback on technologies and products developed by Product Engineering and provide coaching across internal teams to define and execute strategy You ll also create the required infrastructure to troubleshoot and identify appropriate solutions while ensuring the team can execute skilled-level coding and debugging You will champion innovative principles that affect Microsoft s long-term business goals while looking for opportunities across multiple customers and developing novel designs for future products You ll also establish and implement a customer-oriented focus within the team and organization Embodies our culture and values Manage a portion of the team s Book of Work building portfolio management experience and maximizing value for customers and Microsoft Provide clear career paths and coaching for your team members as a multidisciplinary leader in collaboration with senior practitioners within the team Act as a player-coach and work directly on engagements demonstrating hands-on engineering leadership Qualifications Required Minimum Qualifications RQs MQs Doctorate in Data Science Mathematics Statistics Econometrics Economics Operations Research Computer Science or related field AND 5 year s 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 7 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 10 years data-science experience e g managing structured and unstructured data applying statistical techniques and reporting results OR equivalent experience 3 years people-management experience 3 years customer-facing project-delivery experience professional services and or consulting experience Additional or Preferred Qualifications PQs 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 5 years people-management experience Enjoy travel and are comfortable with travel up to 25 Our team prides itself on 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 billions around the world At Microsoft we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world Within ISE you will find a wide range of backgrounds perspectives personal and cultural experiences which are vital to our success with our customers It s an informal and flexible work workplace and you ll be welcome to work in the way that best enables you to get your job done We invest in your health wellness and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you Microsoft is an equal opportunity employer Consistent with applicable law 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 and or a reasonable accommodation due to a disability during the application process read more about requesting accommodations

📌 Data Science Manager (Karnataka)
🏢 Microsoft
📍 Karnataka