Data Scientist Supervisor
Data Scientist Supervisor
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$ 9852 - 13278
1 Vacancy
Job Description
Salary Range: $9852.82 $13278.10 monthly
SUMMARY
The Data & Analytics Unit is responsible for collecting analyzing and interpreting healthcare data to support decisionmaking across the Los Angeles County Department of Health Services (DHS). The unit manages patient care and operational data using analytics to identify patterns predict outcomes and improve service delivery. The unit also ensures data integrity security and regulatory compliance.
The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit overseeing the of advanced analytical projects machine learning initiatives and datadriven strategies. This role is responsible for managing the development and implementation of predictive models optimizing data workflows and ensuring that analytical solutions align with organizational objectives. The Data Scientist Supervisor provides technical leadership mentors team members and fosters a collaborative environment to drive innovation and efficiency in data science operations.
ESSENTIAL FUNCTIONS
- Team Leadership & Mentorship Lead coach and mentor data scientists fostering a culture of continuous learning and professional growth.
- Project Oversight & 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 and varied datasets uncovering trends and patterns that provide actionable insights.
- Finetune and optimize models ensuring they are scalable efficient and aligned with business requirements.
- Mentor junior data scientists and guide their model development statistical analysis and data science practices.
- Data Engineering & Workflow Optimization Collaborate with engineering teams to ensure the scalability efficiency and accuracy of data pipelines.
- Quality Assurance & Best Practices Establish and enforce best practices in data science methodologies model validation and documentation.
- Advanced Data Analysis & Modeling
- Lead the development of predictive prescriptive and diagnostic models to address complex business problems and optimize decisionmaking processes.
- Machine Learning & AI Implementation Design train and optimize machine learning models for forecasting anomaly detection and automation.
- Insightful Reporting & Visualization
- Create and deliver highquality clear and actionable reports and dashboards translating complex data findings into easily understandable insights for both technical and nontechnical stakeholders.
- Use advanced visualization tools and techniques to convey analytical results effectively to leadership and business teams.
- Develop and implement metrics and KPIs that measure the effectiveness of data science initiatives and model performance.
- Strategic Collaboration & Stakeholder Engagement
- Work closely with business leaders and stakeholders to define datadriven strategies and deliver actionable insights.
- Translate complex technical concepts into actionable business insights and recommendations for nontechnical audiences.
- Partner with IT engineering and business teams to integrate data science solutions into operational processes.
- Continuous Improvement & Research
- Stay abreast of emerging data science techniques industry trends and technologies to drive innovation within the team and ensure bestinclass data science practices.
- Lead research initiatives that explore new methods for data analysis modeling and automation.
- Continuous improvement of data science workflows techniques methodologies new tools and technologies within the organization.
JOB QUALIFICATIONS
The ideal candidate is a seasoned data science professional with strong leadership skills a track record of managing data science projects and the ability to translate complex analytics into strategic business recommendations. They should possess a combination of technical expertise team management experience and a deep understanding of machine learning and datadriven decisionmaking.
Education/Experience
- Masters degree from an accredited institution in Data Science Computer Science Statistics Mathematics or a related field.
- 6 years of experience in data science with at least 2 years in a leadership role.
- Extensive handson experience in machine learning AI and predictive modeling. Proven experience leading and mentoring data science teams.
Certificates/Licenses/Clearances
- Successful clearing through the Live Scan and health clearance processes with the County of Los Angeles.
Other Skills Knowledge and Abilities
- Advanced programming skills in Python R or 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 to implementation.
- Excellent communication skills to present complex insights to both technical and nontechnical audiences.
- Experience mentoring junior data scientists and fostering a datadriven culture.
- Strong understanding of agile methodologies and project management principles.
- Commitment to innovation and staying at the forefront of industry trends.
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
Not Applicable Not required for essential functions
Occasionally 0 2 hrs/day)
Frequently 2 5 hrs/day)
Constantly 5 hrs/day)
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 40 and over) 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.
Required Experience:
Manager
Employment Type
Full-Time
