Overview
Work with key 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 implementation plans by defining success metrics, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results. Write robust, reusable, and extensible code to support analysis and modeling. Develop new ML or GenAI based models using advanced statistical and ML techniques. Lead the evaluation of various GenAI based solutions, diagnosing issues and identifying root causes to support potential fine-tuning or reinforcement learning based fixes. Use AI-powered tools in your daily work to accelerate coding, analysis, and other tasks. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Op
Full job description
Full Job Description
Work with key 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 implementation plans by defining success metrics, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results. Write robust, reusable, and extensible code to support analysis and modeling. Develop new ML or GenAI based models using advanced statistical and ML techniques. Lead the evaluation of various GenAI based solutions, diagnosing issues and identifying root causes to support potential fine-tuning or reinforcement learning based fixes. Use AI-powered tools in your daily work to accelerate coding, analysis, and other tasks. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 4+ years of experience in data science, product/journey analytics, causal inference, and user behavioral modeling. Experience driving product improvements through data and insights. Experience in Python, R, SQL, KQL, PySpark, and modern analytics frameworks. Experience designing experiments, defining standardized metrics, performing causal analyses, and delivering behavior-driven insights. Experience with learning platforms and/or learner competency and skill modeling (e.g., proficiency, mastery, and skill signals). Experience levering AI to deliver accelerate time to insight and depth of insights Experience with large-scale enterprise data platforms (e.g., Fabric, Synapse, ADX, Delta Lake, ADF, Databricks, Snowflake). Exposure to ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI.
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