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Senior Data Scientist

Do you want to be on the leading edge of using big data and help drive development decisions for the biggest productivity softwareonthe planet?Office Product Group(office core apps like Word, Excel,PowerPoint, Planner, Formsand more)has embarked on a mission to delight our customers by using datadrivenengineering to develop compelling products and services.Officeis looking for an experiencedData Scientist withapassionforCausal Machine Learning. This role will act as the Tech Lead for Causal ML within Office partnering with both Microsoft Research and the Office of the Chief Economist. Core goals for this role include measure the impact of AI and Premium features across the Office product suite. This Data Scientistwillleveragepetabytes of data, economic and statistical modeling, and experimentation toquantify user engagement, satisfaction, and growth.

The role involves working withapplication teams (likeWord,Excel, PowerPoint,Project,Planner,OneNote, Teams, and Outlook),otherdata scientists,dataengineersand program managers to continuouslyimprove our understanding of AI and Premium feature usage,retention,and user satisfaction.

We are looking for a strong Senior Data Scientist with a proventrack record in datadriven decision making.Ideal candidates should be able toidentifya business or engineering problemand translate it toadata science problem,digout sources of data, conduct the analysisand modeling, includingsolving complex machine learning problemsthat drive our strategic thinking and product development. They should also beable towork withthePMs and theengineeringteamsto operationalize the solutions.



**Core Skills:**

+ Identifiesdata sources, integrates multiplesources,or types of data, and appliesexpertisewithin a data sourcetodevelop methods to compensate for limitations and extend the applicability of the data.

+ Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis.

+ Transforms formulated problems into implementation plans for experiments by applying (and creating when necessary) theappropriate methods, algorithms, and tools, and statisticallyvalidatingthe results against biases and errors.

+ Interprets results and develops insights into formulated problems within the business/customer context andprovidesguidance on risks and limitations.

+ Presents findings to product and engineering leadership and incorporates feedback on the analyses.

+ Acquiresand uses broad knowledge of innovative methods, algorithms, and tools from within Microsoft and from the scientificliterature andapplies his or her own analysis of scalability and applicability to the formulated problem.

+ Validates,monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results.

+ Works collaborativelywithPMsto translate the business needs into metrics and thenworkswithdataengineeringto implement thesemetricsincludingidentifyingand obtainingthe necessary data.




+ 5+ years of industry experience applying statistical modeling,ML ordata miningalgorithmsto real world problems.

+ 2+ years of industry experience applying causal models to real world problems, with a deep understanding of causal inference modeling.

+ Strong proficiency in one or more of the following statistical software: R, SAS, etc.

+ Strong proficiency in one or more of the following scripting languages: Perl, Python,Scala,or SQL

+ Solid foundation of statistical modeling and machine learning algorithmsand experimental design

**Preferred** **skills** **:**

+ 2 + years working with Spark

+ Experience with PySpark

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,800 - $238,600 per year.

Microsoft has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets (see below). The range above reflects the potential base pay across the U.S. for this role (except as noted below); the applicable base pay range will depend on what ultimately is determined to be the candidate’s primary work location. Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time.

At Microsoft certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. Benefits/perks listed here may vary depending on the nature of employment with Microsoft and the country work location. U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others. U.S.-based employees also receive, per calendar year, up to 10 scheduled paid holidays, and receive up to 2 weeks holistic health time off (front-loaded). Additionally, hourly/non-exempt employees accrue up to 15 paid vacation days, and salaried/exempt employees have Discretionary Time Off (DTO).

Our Commitment to Pay Equity

We are committed to the principle of pay equity – paying employees equitably for substantially similar work. To learn more about pay equity and our other commitments to increase representation and strengthen our culture of inclusion, check out our annual Diversity & Inclusion Report. ( )

Understanding Roles at Microsoft

The top of this page displays the role for which the base pay ranges apply – Software Engineering IC4.

The way we define roles includes two things: discipline (the type of work) and career stage (scope and complexity). The career stage has two parts – the first identifies whether the role is a manager (M), an individual contributor (IC), an admin-technician-retail (ATR) job, or an intern. The second part identifies the relative seniority of the role – a higher number (or later letter alphabetically in the case of ATR) indicates greater scope and complexity.

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 ( .

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.