• Set Long-Term Marketing Strategy: Define the 2–3 year technical roadmap for marketing measurement. Establish the "North Star" metrics and frameworks that determine how Reddit allocates hundreds of millions in marketing budget. • Optimize Marketing ROI: Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to mathematically quantify the incremental impact of marketing spend. • Bridge B2B & B2C Growth: Design unified frameworks to optimize marketing aimed at both new advertisers (driving revenue) and new users (driving engagement), identifying synergies where brand awareness for one fuels growth for the other. • Advance Causal Inference & Experimentation: Lead the design of complex "always-on" incrementality testing and geo-holdout experiments. Develop methodologies to measure the long-term "halo effect" of brand marketing on organic growth. • Lead Through Influence: Collaborate deeply with Marketing, Growth, and Finance to translate complex data insights into actionable budget shifts. • Be the Technical Guide for the Team: Mentor junior scientists and set the technical bar for code quality and statistical rigor across the Marketing organization.

Role Description Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. - Work closely with customers’ engineers to jointly develop code for cloud-based solutions. - Collaborate with Microsoft product teams, partners, and open-source communities. - Develop solutions side-by-side with customers through collaborative innovation. - Drive high-impact engineering projects using AI and other cloud-based solutions. - Be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers. As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams. 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. Responsibilities - Oversee data acquisition and ensure data is properly formatted and described. - Coach engineers in data cleaning and analysis best practices. - Identify gaps in current data sets and drive ethics and privacy discussions. - Evaluate team’s models and recommend improvements. - Drive best practices for models and develop operational models that run at scale. - Conduct thorough reviews of data analysis and modeling techniques. - Research and maintain a deep knowledge of the industry, including trends and technologies. - Define business, customer, and solution strategy goals. - Partner with other teams to identify and explore new opportunities. - Commit to a customer-oriented focus by acknowledging their needs. Qualifications - Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience. - OR Master's Degree in the same fields AND 7+ years data-science experience. - OR Bachelor's Degree in the same fields AND 10+ years data-science experience. - OR equivalent experience. Requirements - Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties. - Enjoy travel and are comfortable with travel up to 25%. - Customer-facing, project-delivery experience, professional services, and/or consulting experience. Benefits - Competitive package including a wide range of benefits built around personal needs. - Typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. - Different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, is USD $188,000 - $304,200 per year.

• Serve as the primary internal and Sponsor contact for all Data Management–related questions, issues, and concerns, including data collection, cleaning, delivery, reconciliation, database lock, and activity timelines. • Define and maintain the Data Management Plan (DMP) Collaborating with Sponsors to define study requirements. • Determining standard and study‑specific edit checks to ensure clean data. • Documenting data processing guidelines appropriate for each study. • Partnering with internal teams on study setup requirements, including demographics and visit schedules. • Communicating DMP commitments to internal Clinical Data Management teams. • Completing Data Management information in internal systems. • Lead the development, review, and finalization of data transfer requirements, including Providing or customizing standard file specifications. • Reviewing Sponsor‑defined specifications and coordinating approvals with Sponsors and SAS Programmers. • Maintaining approved file specifications. • Validating file formats and data content as required. • Submitting SAS programming requests for data files or edit checks. • Generating and providing sample data and managing Sample Data Approval Forms. • Managing database lock activities and timelines to ensure data integrity and timely deliverables. • Act as the primary point of contact for Data Clarification Requests (DCRs) and query escalation, working closely with Data Coordinators and Project Managers. • Ensure high‑quality study setups by participating in the review and approval of Data Management components. • Deliver high customer satisfaction by meeting commitments, adhering to timelines, and providing excellent customer service. • Identify out‑of‑scope requests and escalate to Project Management for Change Order processing. • Maintain complete and up‑to‑date Data Management documentation, including DMPs, file specifications, data transfer agreements, data correction forms, requests, and client communications. • Lead routine status meetings with Sponsors/CROs and internal teams, providing agendas and meeting minutes. • Perform at least one routine data run per assigned study per quarter, including sample, complete, and final data deliveries. • Support monthly reporting by providing required Data Management metrics. • Clearly communicate project status with Sponsors, Project Management, and internal client‑specific teams.

• Perform funnel analysis • Experimentation (A/B testing) • Define metrics • Predictive modeling • User segmentation • Deep dives