**Job Description:** - Provide guidance and best practices for data collection, storage, analysis and visualization in facility data management. - Develop and maintain comprehensive data governance policies, ensuring compliance with regulatory and organizational standards. - Verify the implementation of facility management software (e.g., CMMS) to track assets, maintenance schedules, and space utilization. - Ensure data integrity by conducting audits, validating information, and implementing data quality control measures. - Collaborate with IT and facility teams to integrate data systems and improve reporting capabilities. - Analyze facility-related data to identify trends, inefficiencies, and areas for improvement. - Generate reports and dashboards to support decision-making and strategic planning. - Train facility management teams on data entry protocols, reporting tools, and system best practices. - Stay current with industry trends, emerging technologies, and data management advancements. - Translate stakeholder requirements into actionable technical solutions using Power BI dashboards and Power Apps - Proficiency in Extract, Transform, Load (ETL) processes to ensure efficient data integration and transformation. - Implement and oversee data governance strategies to ensure compliance with industry standards and organizational policies. - Establish and maintain data quality assurance protocols to ensure reporting accuracy and reliability. - Define, configure, update, and track Key Performance Indicators (KPIs) related to organizational requirements and strategic goals.

• Design, build, and deploy LLM-based applications for conversational intelligence and insight generation. • Develop multi-step AI workflows, including retrieval, orchestration, routing, and tool-using patterns. • Define and implement evaluation approaches for LLM applications, including response quality, reliability, safety, and value. • Work with large-scale structured and unstructured data using modern data platforms (e.g., Spark, Databricks, Snowflake). • Partner with engineering teams to move GenAI solutions from prototype to production. • Write clean, maintainable code and contribute to shared development practices such as version control, documentation, and code review. • Ensure solutions align with enterprise standards for security, privacy, compliance, and responsible AI.

• 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.