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    Data Scientist - Redmond, United States - Money Fit by DRS

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    Description


    Cloud Operations + Innovation (CO+I) is the team behind one of the World's largest Cloud Infrastructures, responsible for powering all Microsoft online Products and Services as well as powering Microsoft's "Cloud First" mission.

    Our focus is on smart growth, high efficiency, and delivering trusted experience to customers and partners worldwide, and we are looking for passionate, high-energy program managers to help achieve that mission.

    If you want to have fundamental impact on how Microsoft's Cloud is deployed and operated globally, be involved with one of the most strategically important teams at Microsoft, and have sound technical and business acumen, leadership, creativity, and out-of-the-box thinking are some of the skills you bring to the table - this job is for you


    We are looking for an exceptional Data Scientist to collaborate with our data science and engineering team to build solutions that improve our Data Center delivery cycle time.

    As a Data Scientist, you will partner with various teams to develop business requirements to standardize the business input and develop a long-term vision and partnering cross-functionally.

    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.


    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.

    Responsibilities


    Deeply understand the Data Center delivery cycle and underlying information to support leadership and stakeholders make data-driven decisions and continuous process improvements.

    Apply statistical methods, causal inference, and machine learning to inform Data Center business decisions and optimize our process and systems.

    Advocate for our members and provide meaningful insights to internal teams (e.g., Scheduling) working to improve the business process and data reporting.

    Develop and implement innovative solutions to increase the quality of data products and support interactions.
    Partner closely with cross functional stakeholders to build and deliver world-class support and data insights experiences.
    Compile comprehensive and accurate client-facing reports on a timely basis.
    Guide business leaders with confidence in your analytics and reporting to ensure smooth execution.
    Summarize and clearly communicate data analysis assumptions and results.

    Collaborate with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions.

    Other

    Embody our Culture and Values
    Qualifications


    Required Qualifications:
    Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field


    OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., applying quantitative methods to structured & unstructured data for exploratory data analysis, pattern recognition, insights generation, metrics development, and scaling reports.

    ) or consulting experience
    OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., applying quantitative methods to structured & unstructured data for exploratory data analysis, pattern recognition, insights generation, metrics development, and scaling reports.)
    OR equivalent experience.

    Sound knowledge in statistics modeling and machine learning
    Sound programming skills in data manipulation & processing (SQL & Python).

    Knowledge of Power BI, including the ability to design and develop interactive dashboards, reports, and data visualizations to support analysis and decision-making.


    Other Requirements:
    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:


    Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., applying quantitative methods to structured & unstructured data for exploratory data analysis, pattern recognition, insights generation, metrics development, and scaling reports.

    )

    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 consulting experience
    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.


    Ability to communicate associated outcomes and insights succinctly to various team members at all levels, including senior management, to help guide and influence strategic decisions for improvement.

    Sound problem-solving skills to help refine problem statements and solve them with the available data.

    Experience collaborating with data analysts, subject matter experts, and decision-makers to develop data-driven insights to improve the overall member experience.

    Data Science IC- The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 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 $120,900 - $198,600 per year.

    Certain roles may be eligible for benefits and other compensation.

    Find additional benefits and pay information here:
    Microsoft will accept applications for the role until March 31, 2024.

    #IPACareers
    #COICareers
    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.

    #J-18808-Ljbffr

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