OverviewThe Bing organization is looking for a senior data and applied scientist. The team is pushing the boundaries in areas regarding predictive and forecast models, product analysis and online A/B experimentation capabilities and methods, as well as informs our understanding for how users engage with search engines and integrated AI experiences. Translating insights into actionable metrics, we use data to provide direction to the Bing and MAI organization and help business leaders and engineers make the right product and strategic decisions.
Over a billion users use Bing.com worldwide monthly, and we have a large opportunity to grow further. At Bing, we celebrate our data driven culture: changes only ship when their impact is understood and positive.
As a Senior Data Scientist in this team, you will have the chance to work on metrics and analytics shaping growth of the Bing product. You will have the opportunity to work with the engineering teams focused on growth based on 1000s of controlled A/B experiments. You will drive impactful data-driven insights to understand impact and develop forecast models inform risk and opportunities to the product and business as early as possible.
Responsibilities• Develop highly accurate forecast models powering insights for business and product risks and opportunities
• Drive impact analysis for features critical to agile course correction and business investments
• Define and track key org level success metrics for impact and drive reliable process to track contribution from individual feature initiatives across the product lifecycle against set goals
• Define, build and track success metrics for Bing customer satisfaction and retention. Develop strategies for understanding correlation between set of key Bing metrics and define overall ship decision criteria.
• Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends.
• Develop tools to help analyze the movement of the metrics to help feature teams to understand why their changes impact the metrics.
QualificationsRequired 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:- Doctorate 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 Master'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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- Experience with SQL-like query languages.
- Hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++ .
- Ability to work independently, influence others, and solid communication and collaboration skills.
- Familiarity with search engines, dealing with online instrumentation.
- Experience with large datasets and interest in consumer online search behaviors.
- Experience with building machine learning models on large scale data.
#MicrosoftAI #Search #MAI #nextplay
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 $160,200 - $261,000 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.
