Senior Data Scientist
Mountain View, California, United States
Full Time Senior-level / Expert USD 117K - 250K
Microsoft
Entdecken Sie Microsoft-Produkte und -Dienste für Ihr Zuhause oder Ihr Unternehmen. Microsoft 365, Copilot, Teams, Xbox, Windows, Azure, Surface und mehr kaufenAs a Senior Data Scientist in the Bing Metrics & Evaluation team, you will be tasked with evaluating the quality of our products and metrics, build data pipelines in Python and C#, prepare dashboards to allow others to view your metrics and support teams to debug and review the metrics you create. This role in not a flexible work opportunity.
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
- Understand where to acquire the data necessary for the project plan and use querying, visualization, and reporting techniques to describe that data. Also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies.
- Understand modeling techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance. Analyze model performance and incorporate customer feedback into its evaluation.
- Understand the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. Write efficient code for a specific feature, and develop a working expertise of proper debugging techniques.
- Understand each customer’s business goals and learn best practices for identifying growth opportunities. Examine projects through a customer-oriented focus, and manage customer expectations regarding project progress.
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
- 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
- OR equivalent experience.
- Experience in coding and familiarilty with at least one Objective Oriented Programming language, including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
- Experience in SQL
Preferred Qualifications:
- Experience in either online or offline metrics.
- Demonstrated ability to be productive and effective in a highly collaborative environment.
- Experience with design, problem solving, and data analysis skills, with demonstrated passion for quality, performance, and engineering excellence.
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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
Microsoft will accept applications for the role until December 11, 2024
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.
Tags: Computer Science Data analysis Data pipelines Econometrics Economics Engineering Java JavaScript Mathematics Pipelines Python Research SQL Statistics Unstructured data
Perks/benefits: Flex hours Medical leave
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