The Data Scientist Supervisor will lead a dedicated team within the DHS Data & Analytics Unit, guiding advanced analytics projects, machine learning initiatives, and the development and deployment of predictive models to inform data-driven decision-making. This role provides technical leadership and mentorship to foster innovation and operational efficiency.
Location and Compensation
Location: Alhambra, CA (hybrid)
Salary: USD 9,853 - 13,278 per monthly
Responsibilities
- Lead and mentor data scientists, promoting continuous learning and professional growth.
- Oversee the development of machine learning models and analytical solutions aligned with business needs.
- Collaborate with engineering teams to ensure scalable, efficient, and accurate data pipelines.
- Establish and enforce best practices in data science methodologies, model validation, and documentation.
- Drive the creation of predictive, prescriptive, and diagnostic models to address complex business challenges and optimize decisions.
- Produce high-quality, clear reports and dashboards; translate complex findings for technical and non-technical stakeholders; utilize advanced visualization to convey results to leadership; define metrics and KPIs to measure initiative impact.
- Engage with business leaders to define data-driven strategies and deliver actionable insights; translate technical concepts for non-technical audiences; partner with IT, engineering, and business teams to embed data science into operational processes.
- Pursue continuous improvement and research in data science techniques, staying current with industry trends; lead initiatives exploring new methods and tools; enhance data science workflows and methodologies across the organization.
Requirements
- Master’s degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Six or more years of experience in data science, with at least two years in a leadership role.
- Extensive hands-on experience in machine learning, AI, and predictive modeling; proven track record of leading and mentoring data science teams.
- Successful clearance through the Live Scan process with the County of Los Angeles.
- Advanced programming skills in Python, R, and SQL for model development and data processing.
- Expertise in cloud computing (AWS, Azure, GCP) and big data technologies.
- Strong experience with data visualization tools (Tableau, Power BI) for storytelling and reporting.
- Deep knowledge of data engineering concepts, ETL processes, and model deployment.
- Proven ability to lead data science projects from ideation through implementation.
- Excellent communication skills to present complex insights to both technical and non-technical audiences.
- Experience mentoring junior data scientists and fostering a data-driven culture.
- Solid understanding of agile methodologies and project management principles.
- Commitment to innovation and staying at the forefront of industry trends.
Technologies
- Python
- R
- SQL
- AWS
- Azure
- GCP
- Tableau
- Power BI
Physical Demands
- Stand: Not applicable
- Walk: Not applicable
- Sit: Frequently
- Handling / Fingering: Constantly
- Reach Outward: Constantly
- Reach Above Shoulder: Not applicable
- Climb, Crawl, Kneel, Bend: Not applicable
- Lift / Carry: Occasionally - Not applicable
- Push/Pull: Occasionally - Not applicable
- See: Constantly
- Taste / Smell: Not Applicable
Work Environment
Hybrid
EEOC Statement
It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age, national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.
