Senior Data Scientist

Microsoft•Redmond, WA

About The Position

Are you passionate about applying your knowledge of statistics, machine learning, AI, and data analytics to help deliver new software innovation that delights our customers and increases the satisfaction of the engineers who write the code? Are you looking for big, creative challenges that show immediate results since your customers will be just down the virtual hall? If so, come join the Engineering Systems 365 (ES365) team! Our systems are key to ensuring that code changes move quickly and efficiently from inception to release with provable high quality, at scale, across multiple endpoints, platforms, and device form factors – all while doing so securely and managing costs responsibly. The team is looking for a Senior Data Scientist with a proven track record of understanding complex business problems and using industry-leading analytical techniques to find insights that transform our business and customer experiences. A well-qualified candidate is highly technical and possesses the drive and persistence needed to tackle complex business problems and create scalable, impactful insights from diverse data sets and pipelines. The candidate should be experienced working with leadership to identify business or engineering problems, translate them to Data Science problems, conduct the appropriate analysis & modeling to reveal actionable insights, and then communicate the impact to the leadership team to drive change. This is a high visibility role with focus on big transformations and large gains. Engineers, product managers, applied researchers and other disciplines in the Experiences + Devices division and across Microsoft will be customers of your work. You’ll have the M365 Leadership Team heavily invested in your success and impact. You will build connections with other Engineering Systems teams across Microsoft, and together you will work to identify, define, and adopt best practices from within the company and the industry. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. 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.

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ 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 3+ 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 5+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience

Nice To Haves

Solid understanding of the Software Development Lifecycle and familiarity with common software engineering tools (Git, Azure DevOps/GitHub, etc)
2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience
3+ years of experience working with data analysis languages and tools such as Python, R, Kusto, etc
Demonstrated ability to deliver the right business impact by working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data via predictive analytics, statistical modeling, data mining, AI, or machine learning algorithms
Have a track record of innovative thinking and problem-solving skills by developing data pipelines and leveraging large data sets
Be self-driven and show the ability to deliver on ambiguous projects with incomplete data while collaborating on a multi-disciplinary team
Excellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modeling, data mining, AI, A/B experiments, or machine learning algorithms, especially at scale.
Demonstrated communication skills and ability to collaborate in a multi-disciplinary team.

Responsibilities

Engage with stakeholders to understand and address their business problems with data-driven solutions. Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business
Serve as a subject matter expert on advanced analytics, partnering with other teams to apply and leverage this skillset to guide data-driven decision making while mentoring product managers, researchers, and engineers in data best practices
Work with coworkers, partners and customers to define data needs, research questions, analysis plans, and deliverable timelines
Translate complex technical findings into succinct, actionable business insights, often in coordination with partners who help you tell a holistic story
Occasionally support high priority ad hoc requests from company and Engineering leadership
Passion for innovation and discovering new insights into engineering analytics by leveraging advanced machine learning techniques and AI as well as continued learning in these disciplines

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