New 
Data Scientist
 Microsoft | |
 United States, Texas, Irving | |
| 7000 State Highway 161 (Show on map) | |
 Sep 04, 2025 | |
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OverviewMicrosoft envisions a world where passionate innovators come to collaborate, envisioning what can be and taking their careers places they simply couldn't anywhere else. This is a world of more possibility, more innovation, more openness, and sky's-the-limit thinking - a secure, cloud-enabled world. Our mission is to empower every person and every organization on the planet to achieve more. We have unique capability in harmonizing the needs of both individuals and organizations. We deeply care about taking our ideals and vision global and making a difference in lives and organizations in all corners of the planet. The Customer Solutions Area Team is creating and executing sales strategy across the Customer Solution Areas with field teams around the world to enable us to deliver on Microsoft's Mission with our customers. The Business Insights team partners closely with GTM strategy, programs, enablement, global sales, engineering and field teams to generate business insights that influence the shape and direction of our business, sales strategy and accelerate the growth of our business. Our charter spans the breadth of the solution areas, where we design and deliver standardized views of business performance, pipeline health, build predictive analytics and propensity models, analyze productivity trends and competitive threats to surface actionable key business insights. We are looking for an experienced data scientist that questions prior assumptions and proactively seeks innovative solutions to meet our seller's needs, sales leaders' needs and executive needs - charting the story of the business in a connected way that helps drive the right behaviors from sellers, partners and leaders. The ideal candidate will have deep technical depth and experience leveraging statistics, data analysis, data science and visualization to drive business insights that lead to action and successful business outcomes. UX design experience is also a plus.
ResponsibilitiesWork with key business stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.Transform formulated problems into implementations plans for experiments by defining success metrics, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results.Acquire the data necessary for your project and develop usable data sets for modeling.Develop new predictive and prescriptive models using advanced statistical and machine learning techniques with a goal of productionizing solutions.Evaluate your team's models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. Conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methodsInfluence stakeholders to make product/service improvements that yield customer/business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools.Research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify and analyze the applicability and scalability of innovative data science methods.Other:Be a hands-on technical lead who can own, drive, and develop insights from conception to release.Be curious and willing to continuously learn about the business. Partner with stakeholders to define the critical insights required to make informed business decisions and sales precision. Continuously evolve the output of this role and ensure business alignment and impact.Learn and understand a broad range of data resources and know when, how, and which to use and which not to at any given time.Demonstrated analytical problem solving with adaptability to manage through ambiguity.Excellent collaboration skills that promote a positive team environment by modeling behavior of continuous learning.Ability to manipulate and analyze complex, high-volume, high-dimensionality data from various sources.Design, build, and maintain all business reporting and dashboards, ensure data integrity and accuracy.Become a center of excellence for UX design for the entire Business Insights team (general usability and accessibility in particular). | |