While many businesses collect data, few can compete with the breadth and depth of Microsoft’s products and resulting data. If you are excited to positively impact the lives of millions of people and want the challenge of working with terabytes of data at scale, this role is for you!

The Modern Life Machine Learning team is looking for a Data Scientist who is self-directed, entrepreneurial, and focused on delivering results. Our multi-disciplinary team of data scientists works across a broad portfolio of Microsoft consumer products, representing a $400B market opportunity, to develop innovative ML models partnering with product managers, strategic partners, and subject domain experts. In particular, Beyond traditional supervised/unsupervised learning approaches, the team also specializes in DNN time series, causal inference, and reinforcement learning based sequential decision optimization. The candidate should be able to apply a breadth of machine learning tools and analytical techniques to answer a wide range of high-impact business questions and present the insights in a concise and effective manner.

Responsibilities

• Work closely with engineering teams to identify and answer important product questions.
• Create machine learning solutions for a diverse set of business problems.
• Employ structured approaches to leveraging large data sets to uncover new insights.
• Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions.
• Present and defend results to leadership audiences, both technical and non-technical.

Our team philosophy encourages knowledge sharing so you will contribute to the research community through technical papers and presentations published both internally and externally.

Qualifications

Required Qualifications

• PD. in a quantitative field.
• Experience with a numerical programming language such as Python/Numpy/Scipy, Spark, R, or similar and some familiarity with SQL or similar.

Preferred Qualifications

• Comfort manipulating and analyzing complex, high-dimensionality data from varying sources to solve difficult problems.
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.

Experience in one or more of the following areas (or related): DNN timeseries, causal inference

• Experience with cloud-based architectures such as Azure or AWS.
• Knowledge of C#, C++, etc a plus.

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Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.