Data Science

Microsoft•Redmond, WA

About The Position

Are you a data professional deeply interested in the current race in AI? Come join us! We are looking for a Data Scientist storyteller to support the IDEAS Data Science team. As translators and advisors, we help communicate the “What if” of what IDEAS Data Science has created as a “single source of truth” by connecting the quantified metrics to the executive action required for business e.g. competitive imperative given market share across a variety of metrics. We use a wide combination of data sources (1P, 3P, public, surveys, panels, etc) and science models to produce our estimates. As a business facing team, interest and ability to connect product and strategy hypotheses back to data and qualitative factors is central to the role. AI is a big focus, both as a competitive space (e.g. Copilot, ChatGPT, Gemini, Claude, etc) and because we are actively integrating AI into our daily workflows. Join over 150 data scientists on the broader horizontal IDEAs team where data science, engineering, and PM work together to support multiple business and product verticals at scale! In this role you will both support stakeholders directly and work with the broader IDEAs team to scale your solutions across Microsoft. We play a crucial role in supporting Microsoft 365 and the Experiences + Devices group (E+D), both of which are central to the Company's mission to empower individuals and organizations to achieve more. Our objective is to foster a data-informed culture by equipping the Experiences + Devices group with actionable insights to guide their decisions. This initiative represents a significant opportunity to deliver impactful information that will improve operational efficiency, drive empowerment, and support Microsoft’s success in the evolving AI landscape. 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.

Requirements

7+ years experience in data science, research, marketing or business-related roles
OR Bachelor's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 6+ years experience in data science, research, marketing or business-related roles
OR Master's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 4+ years experience in data science, research, marketing or business-related roles.
5+ years of hands-on research experience including designing and executing complex data-storytelling projects from start to finish.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. 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.

Nice To Haves

5+ years of Consulting experience, or 6+ years of significant corporate strategy experience or 9+ years experience in data science, research, marketing or business-related roles
OR Bachelor's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 8+ years experience in data science, research, marketing or business-related roles
OR Master's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 7+ years experience in data science, research, marketing or business-related roles.
OR Doctorate Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 5+ years experience in data science, research, marketing or business-related roles
5+ years experience working with decision makers to define need and scope research to answer questions.
5+ years creating content that conveys a simple, clear message.

Responsibilities

Be a translator and Advisor: Business Understanding and able to leverage consulting skills to communicate the “What if” that can influence outcomes.
Primary role is to be a “force multiplier” of the data science work and connect the metrics and data findings to what actions business needs to make.
Describes the primary objectives of the team from a business perspective. Collaborates with internal cross-functional stakeholders to understand business needs.
Produces a project plan to specify necessary steps required for completion. Assesses current situation for resources, risks, contingencies, requirements, assumptions, and constraints.
Engages business stakeholders to capture and shape their thinking on data-driven methods. Leads customer conversations to understand, define, and solve business problems. Influences stakeholders by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Exemplifies and enforces team standards related to bias, privacy, and ethics.
Data Preparation and Understanding. Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leads. Develops useable data sets for modeling purposes. Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices. Contributes to data integrity/cleanliness conversations with customers.
Coding and Debugging. Being able to code and debug is useful but not essential. Understands the causes of common defects and uses best practices in preventing them from occurring. Collaborates with other teams and leverages best practices from those teams into work of their own team.
Customer/Partner Orientation. Applies a customer-oriented focus by understanding customer needs and perspectives. Builds trust with customers by leveraging interpretability and knowledge of Microsoft products and solutions. Helps drive realistic customer expectations, including information about the limitations of their data.
Industry and Research Knowledge / Opportunity Identification. Uses business knowledge and technical expertise to provide feedback to the engineering team to identify potential future business opportunities. Develops an understanding of work being done across teams to propose potential collaboration efforts. Coaches and provides support to execute strategy. Leverages capabilities within existing systems.
Modeling and Statistical Analysis. Breaks down complex statistics and machine learning topics into manageable topics to explain to executives / customers.