**Job Title:** Data Scientist – Copilot Analytics (CAPE) --- ## Role Overview Partner with data engineering, product management, and engineering teams to define analytical questions, success metrics, and hypotheses that drive Copilot business outcomes. Key duties include: - Analyzing large‑scale product and customer telemetry (e.g., Kusto/ADX, Cosmos, logs, usage signals) to deliver clear, actionable insights for leaders and partner teams. - Designing and interpreting experiments and evaluations (A/B tests, cohort/retention analysis, causal methods) to measure impact of features, agents, and platform changes. - Owning and evolving core metrics and definitions (engagement, retention, adoption, quality) to ensure consistency and trust across reporting and dashboards. - Improving data quality, freshness, and correctness by identifying gaps/anomalies and strengthening signal pipelines in partnership with data engineering. - Building analytical models or lightweight ML to support forecasting, segmentation, classification, and outcome measurement as needed. - Communicating complex analyses as concise narratives for technical and non‑technical audiences; contributing to documentation and analytics best practices across CAPE. --- ## Required Qualifications | Education | Experience | |-----------|------------| | **Doctorate** in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field **OR**
**Master’s** in one of the above fields **AND** 1+ year data‑science or consulting experience **OR**
**Bachelor’s** in one of the above fields **AND** 2+ years data‑science experience **OR** equivalent experience | | | • 2+ years of experience analyzing large datasets using SQL‑based systems and/or analytics platforms (e.g., Kusto, SQL, Spark).
• Experience designing and interpreting experiments, metrics, or analytical studies to inform product or business decisions.
• Experience communicating insights clearly through written narratives, presentations, or dashboards.
• Experience collaborating with cross‑functional partners (engineering, product, program management).
• Experience working in a data‑intensive product or platform environment, especially with telemetry or usage data at scale.
• Familiarity with Python, R, or similar languages for data analysis and modeling.
• Experience with AI/ML‑adjacent systems, evaluations, or outcome measurement (e.g., model quality, agent performance, user impact).
• Experience supporting executive‑level reporting or decision‑making.
• Exposure to cloud data platforms (e.g., Azure Data Explorer, Cosmos DB, Power BI semantic models). | --- ## Desired Skills & Technologies - **Data query & storage:** Kusto/ADX, Cosmos DB, SQL, Spark. - **Analytics & visualization:** Power BI, dashboards, reporting tools. - **Programming:** Python, R (or equivalent). - **Experimentation:** A/B testing, cohort analysis, causal inference methods. - **Machine Learning (lightweight):** Forecasting, segmentation, classification. - **Cloud platforms:** Azure (Data Explorer, Cosmos DB, Power BI). --- ## What You’ll Contribute - Clear, data‑driven narratives that influence product direction and business strategy. - Robust, trustworthy metric frameworks that align cross‑functional teams. - High‑quality, timely data pipelines that enable rapid insight generation. - Scalable analytical models that support forecasting and segmentation needs. --- *End of job posting.*

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