Job Description
Core Responsibilities :
Team management :
- Act as the dedicated delivery partner for a cross-functional team of Data Scientists and Engineers
- Own all client engagement and proactively remove technical or organizational blockers to maintain team velocity.
Technical Architecture & Strategy : Lead the design and integration of scalable Data Engineering pipelines with advanced Machine Learning models, ensuring that data infrastructure supports the specific feature requirements of the Data Science team.
Hands-on Python Engineering : Contribute directly to the codebase by developing core Python modules, or debug critical issues on need basis.
Stakeholder & Product Alignment : Translate ambiguous business objectives into a technical product backlog; manage expectations with executive leadership regarding delivery timelines, resource constraints, and the "Definition of Done."
Mentorship & Quality Governance : Conduct high-level code reviews across both DS and DE domains; mentor junior and mid-level staff on the intersection of software engineering best practices and statistical modeling.
Qualifications :
- 10+ years of experience in the data space, with at least 3 years in a formal or informal leadership/management capacity.
- Proven track record of delivering end-to-end data products from raw ingestion to productionized ML insights.
- Ability to switch contexts rapidly between managing people/processes
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