[Remote] Technical Project Manager (Data Scientist
Note: The job is a remote job and is open to candidates in USA. EXL is seeking a Technical Project Manager to lead a strategic healthcare initiative focused on STARS performance and outcomes. The role involves driving a cross-functional program that integrates Machine Learning, Data Engineering, and data intelligence to enhance operational efficiency and decision-making.
Responsibilities
- Lead end-to-end delivery of a data-driven healthcare initiative
- Manage and mentor a cross-functional team of ML engineers, data engineers, and BI developers
- Provide hands-on guidance in Machine Learning & Data Science, including model selection, feature engineering, and evaluation
- Support design and implementation of ML models (predictive, NLP, or advanced analytics)
- Ensure seamless integration of data pipelines, ML models, and Power BI dashboards
- Define and track KPIs, model performance metrics, and business outcomes
- Oversee MLOps practices including model deployment, monitoring, and retraining
- Collaborate with stakeholders to translate business needs into data science solutions
- Ensure data quality, governance, and scalable architecture
- Drive planning, prioritization, risk management, and timely delivery
- Promote adoption of data-driven insights and dashboards for decision-making
Skills
- Proven experience working with Medicare STARS metrics and performance improvement initiatives are essential
- 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
- 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
- Strong understanding of healthcare data and STARS metrics
Company Overview
Company H1B Sponsorship