Technical Project Manager – Data Science

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EXL

10,000+ employees

💰 $2M Venture Round on 2015-01

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

📋 Description

• Lead a strategic healthcare initiative with a strong focus on STARS performance and outcomes • Drive a cross-functional program involving Machine Learning, Data Engineering, and data intelligence • Ensure seamless collaboration between business stakeholders and technical teams • Translate business objectives into actionable delivery plans • Align data, analytics, and reporting workstreams to support quality improvement and operational efficiency • Identify opportunities, prioritize initiatives, and deliver scalable data-driven solutions that enhance performance and decision-making

🎯 Requirements

• 5+ Years of experience in AI/ML, Data Science, or Data Engineering roles with team leadership • Strong understanding of Machine Learning and Data Science concepts, including model development, feature engineering, and evaluation • Proficiency in Python and PySpark for large-scale data processing and model development • Experience in building and managing end-to-end data pipelines (ETL/ELT) • Experience with MLOps practices, including model deployment, monitoring, and lifecycle management • Strong understanding of data quality, governance, and scalable data architecture • Experience leading cross-functional teams including ML engineers, data engineers, and BI developers • Exposure to visualization tools like Power BI and ability to connect insights to business KPIs • Strong understanding of healthcare data and STARS metrics (preferred) • Excellent communication and stakeholder management skills • Strong analytical, problem-solving, and decision-making abilities • Ability to translate complex business problems into data-driven AI/ML solutions

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development opportunities

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