Senior Data Scientist at Microsoft

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Mar, 26

Salary

234700.0

Posted On

14 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistical Techniques, SQL, R, Python, AB Testing, Big Data, Data Analysis, Model Development, Experimentation, User Behavior, Business Metrics, Communication Skills, Interpersonal Skills, Problem-Solving, Curiosity

Industry

Software Development

Description

Overview The SharePoint Data Science team's charter is to foster a data-driven culture, ensuring that all key organization and product decisions are informed by data. Our team works closely with PM, engineering, marketing, user research, design and business leaders to identify opportunities for improving the customer experience and accelerate our business's growth in support of this mission. We analyze historical data to understand salient trends, deliver standardized views of business performance, develop models to predict performance, recommend actions to be taken, and run experiments to prove that desired outcomes are being achieved. This is a unique opportunity to bring your knowledge of enterprise software offerings, as well as your deep understanding of data science methods and best practices, to help Microsoft deliver the best experience possible for our customers and partners. You will be joining a group of experts on the front lines of synthesizing vast customer purchase and engagement behavior data sets into targeted recommendations for addressing real-world business challenges at scale. We are looking for you to bring a fresh perspective and your unique voice to our team. 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 Work cross functionally to translate business problems into ones that can be solved and informed by data analysis. Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business. Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map. Work with other teams across Microsoft to develop key metrics to achieve business outcomes. Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution. Utilize tools like SQL, R, Python to execute analyses. Qualifications Required 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., 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. Preferred Qualifications: 4+ years with leveraging passion for & understand the need to deliver the right business impact by working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data. 4+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis. 4+ years leveraging the practical uses of statistics (i.e. experimentation, sampling) Have a track record of innovative thinking and problem-solving skills using Big Data. Be self-driven and show the ability to deliver on ambiguous projects with incomplete data. Professional experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems. Effective communication and interpersonal skills to influence diverse personalities, convey ideas clearly, and translate complex analyses and insights for non-technical audiences. Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Translate business problems into data analysis questions and develop models to influence product roadmaps. Champion AB testing by designing, executing, and analyzing experiments to validate product changes.