Salary Range: $9333.00 $12576.46 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 Senior Data Scientist manages advanced analytical projects developing sophisticated machine learning models and providing strategic insights to drive datainformed decisionmaking. This role requires expertise in statistical modeling data engineering and predictive analytics as well as the ability to mentor junior data scientists and collaborate with crossfunctional teams. The Senior Data Scientist plays a key role in designing scalable data solutions optimizing analytical workflows and ensuring alignment between data initiatives and organizational goals.
ESSENTIAL FUNCTIONS
- Advanced Data Analysis & Modeling
- Lead the development of predictive prescriptive and diagnostic models to address complex business problems and optimize decisionmaking processes.
- 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.
- Machine Learning & AI Implementation Design train and optimize machine learning models for forecasting anomaly detection and automation.
- Data Engineering & Pipeline Optimization Collaborate with engineering teams to improve data pipelines ensure data integrity and enhance model deployment.
- 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 data needs and prioritize projects that align with organizational goals and objectives.
- Translate complex technical concepts into actionable business insights and recommendations for nontechnical audiences.
- Collaborate with crossfunctional teams including product engineering and IT to design and implement data solutions that drive business impact.
- 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.
- Contribute to the continuous improvement of data science workflows tools and methodologies within the organization
JOB QUALIFICATIONS
The ideal candidate is an experienced data scientist with strong leadership capabilities problemsolving expertise and the ability to drive highimpact data initiatives. They should have deep technical proficiency in machine learning statistical modeling and big data processing coupled with strong business acumen and communication skills. A passion for continuous learning and innovation is essential.
Education/Experience
- Bachelors or Masters degree from an accredited institution in Data Science Computer Science Statistics Mathematics or a related field.
- 5 years of experience in data science advanced analytics or a related role.
- Extensive handson experience in machine learning AI and predictive modeling.
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:
Senior IC