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ROLE OVERVIEW
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Role: Builds, deploys, and optimizes scalable machine learning models and advanced analytics solutions to drive measurable business impact across the organization.
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APPLY
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COMPENSATION & WORK DETAILS
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Salary: $135,600 - $151,300 annually
Pay Type: Salary
Salary Band: [$5k+/mo]
Work Type: Full-Time
Location: [US Only]
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KEY TASKS
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Key Tasks: Perform exploratory data analysis, engineer features, build and validate predictive models, deploy and monitor ML models in production, manage model lifecycle and experiment tracking, design A/B tests and causal inference frameworks, automate feedback loops, collaborate with data engineering teams, present insights to executives, mentor junior data scientists
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QUALIFICATIONS
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Qualifications: Bachelor’s degree in quantitative field, 5–7+ years ML experience, strong Python programming, experience with MLflow or similar tools, SQL proficiency, experience with Apache Spark, experience deploying scalable data solutions, knowledge of regression/classification/clustering/NLP, strong communication skills
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TOOLS & CLIENT
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Tools: Python, MLflow, SQL, Apache Spark, Microsoft Fabric
Client Type: Enterprise
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ROLE TAGS
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Category: [Data & Analytics]
Sub-Category: [Machine Learning] [Data Science] [Predictive Modeling] [Analytics]
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