Data Science Manager
$119,127–$197,729 year
RemoteUnited States
Job Summary
Design, build, train, and deploy production-grade machine learning models, AI solutions, and data products while leading a team of advanced data professionals. Collaborate with business stakeholders to identify high-impact opportunities, translate requirements into actionable projects, and ensure alignment with organizational strategy. Implement data visualization solutions, manage the full model lifecycle including post-deployment monitoring, and partner with engineering teams to build scalable pipelines using cloud platforms like Azure or AWS. Guide the team on feature engineering, model assessment, and best practices while fostering a high-performing culture through coaching and mentoring.
Required Qualifications
- Bachelor's or Master's degree in a relevant field (e.g., Data Science, Information Systems, Computer Science, Business, or related discipline)
- Master's degree preferred
- 7+ years of hands-on experience in data science, ideally in a data product capacity in banking/finance, insurance or a related field
- 5+ years of demonstrated experience leading teams and driving enterprise‐level change initiatives
- Strong technical expertise in machine learning and AI solution development
- Experience building and deploying data products in production environments
- Hands-on experience with cloud platforms such as Azure, AWS, or similar ecosystems
- Familiarity with ML lifecycle management, data pipeline orchestration, and production support
- Solid understanding of software engineering principles and development workflows
- Ability to write, review, and optimize Python and SQL code
- Deep understanding of Large Language Model (LLM) orchestration, specifically how to build 'Agents' that can reason, use tools, and execute workflows autonomously
- Knowledge of Retrieval-Augmented Generation (RAG) patterns, including how to manage embeddings, vector indexing, and the 'chunking' of unstructured data for AI consumption
- Excellent written and verbal communication skills; ability to translate complex models to business users
- Excellent presentation skills
- This is a remote position
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