Data Science Team Lead

Heluna Health; Alhambra (CA); Hybrid; USD 110,000 - 148,000; Full time

Job summary

Heluna Health is seeking a Data Scientist Supervisor to lead a team of data scientists within the DHS Data & Analytics Unit. You will oversee advanced analytics, ML initiatives, and predictive modeling to improve program outcomes and decision-making.

The role requires strategic leadership, strong technical expertise (Python/R/SQL), and a proven ability to translate complex analyses into actionable business recommendations. Hybrid work arrangement and data-driven culture are emphasized.

Qualifications

• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 6+ years of experience in data science, with at least 2 years in a leadership role.
• Hands-on experience in machine learning, AI, and predictive modeling; proven team leadership.

Responsibilities

• Lead, coach, and mentor data scientists, fostering a culture of continuous learning and professional growth.
• Manage and oversee the development of machine learning models and analytical solutions to meet business needs.
• Apply advanced statistical methods, machine learning algorithms, and data mining techniques to analyze large datasets and uncover actionable insights.
• Fine-tune and optimize models for scalability and efficiency.
• Mentor junior data scientists and guide model development and data science practices.
• Collaborate with engineering to ensure scalable, accurate data pipelines.

Skills

Leadership

Mentorship

Project management

Python

R

SQL

Cloud platforms

Education

Master’s degree in Data Science/CS/Statistics/Math

Tools

Tableau

Power BI

AWS

Azure

GCP

Job description

Heluna Health is seeking a Data Scientist Supervisor to lead a team of data scientists within the DHS Data & Analytics Unit. You will oversee advanced analytics, ML initiatives, and predictive modeling to improve program outcomes and decision-making.

The role requires strategic leadership, strong technical expertise (Python/R/SQL), and a proven ability to translate complex analyses into actionable business recommendations. Hybrid work arrangement and data-driven culture are emphasized.