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Computer Science Data Science Jobs in Los Angeles, CA

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Master's 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 ...

Tatari

Data Science Analyst

Los Angeles, CA

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA

$9.8K - $13K/mo

Master's 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 ...

Centerfield

Data Science Intern

Los Angeles, CA · On-site

Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. * Programming: Solid foundation in Python and ...

Cedars-Sinai

Research Data Scientist

West Hollywood, CA · On-site

$94K - $161K/yr

Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Applied Mathematics, or related field, plus two (2) years of experience as a Research Data Scientist, Associate ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... of data visualization tools and techniques • Excellent communication and presentation skills ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... of data visualization tools and techniques • Excellent communication and presentation skills ...

CorVel Corporation

Data Scientist II

Irvine, CA · On-site +1

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field; Master's preferred * 2-5+ years of experience in data science, machine learning, or ...

YO AI Labs

Data Scientist

Glendale, CA

Data Scientist * Experience: 5-15 Years * Location: Glendale, USA * Job Type: Full-time Must Haves ... Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a ...

Odesus

Manager of Data Science

Burbank, CA

$67.31/hr

Manager of Data Science Location: Burbank Pay Rate: $67.31/hr Duration: 3-months What We Do/Project Seeking a hands-on data scientist to fill the Manager of Data Science position within our Sales ...

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields. Experience developing and deploying models related to recommender ...

AEG

LA Kings - Sr. Data Engineer

El Segundo, CA · On-site

$122K - $146K/yr

Required : • BA/BS Degree (4-year) (Advanced Degree Preferred) Computer Science, Data Science, or similar field • 4-6 years related work experience • Expert knowledge of SQL, Python, and Spark ...

YO AI Labs

Data Scientist

Glendale, CA

Must Have: Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search ... Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a ...

San R&D Business Solutions LLC

Data Scientist

Glendale, CA · On-site

$140 - $190/hr

Senior Data Scientist - Experimentation & Causal Inference Job Type: Contract (12 Months) Location ... Bachelor's degree in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or ...

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Showing results 21-40

All JobsComputer Science Data Science JobsComputer Science Data Science Jobs in Los Angeles, CA

Computer Science Data Science information

See Los Angeles, CA salary details

$40.4K

$132.3K

$211.7K

How much do computer science data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for computer science data science in Los Angeles, CA is $132,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $146,500.00 per year, depending on experience, location, and employer.

Is a computer science degree good for data science?

A computer science degree is highly valuable for data science roles, as it provides a strong foundation in programming, algorithms, and data structures essential for analyzing large datasets. Many data scientists also learn tools like Python, R, and SQL, and may pursue certifications or specialized training to enhance their skills. Having a degree can improve job prospects and understanding of complex technical concepts in data science.

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing models, and using programming languages like Python or R. The main difference is that a data scientist often focuses more on data analysis and insights, while a computer science data scientist may have a stronger background in algorithms and software development. Skills in statistical methods, machine learning, and data visualization are essential for both positions.
What are popular job titles related to Computer Science Data Science jobs in Los Angeles, CA? For Computer Science Data Science jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Computer Science Data Science jobs in Los Angeles, CA look for? The top searched job categories for Computer Science Data Science jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Computer Science Data Science jobs? Cities near Los Angeles, CA with the most Computer Science Data Science job openings:
Computer Science Data Science jobs near you
Infographic showing various Computer Science Data Science job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,252 per year, or $63.6 per hour.

Data Scientist Supervisor

Heluna Health

Alhambra, CA • On-site

$9.8K - $13K/mo

Full-time

Re-posted 25 days ago

Job description

Salary Range: $9,852.82 - $13,278.10 Monthly
SUMMARY
The Data & Analytics Unit is responsible for collecting, analyzing, and interpreting healthcare data to support decision-making 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 execution of advanced analytical projects, machine learning initiatives, and data-driven 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
  1. Team Leadership & Mentorship - Lead, coach, and mentor data scientists, fostering a culture of continuous learning and professional growth.
  2. Project Oversight & Execution - Manage and oversee the development of machine learning models and analytical solutions to meet business needs.
    1. 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.
    2. Fine-tune and optimize models, ensuring they are scalable, efficient, and aligned with business requirements.
    3. Mentor junior data scientists and guide their model development, statistical analysis, and data science practices.
  3. Data Engineering & Workflow Optimization - Collaborate with engineering teams to ensure the scalability, efficiency, and accuracy of data pipelines.
  4. Quality Assurance & Best Practices - Establish and enforce best practices in data science methodologies, model validation, and documentation.
  5. Advanced Data Analysis & Modeling
    1. Lead the development of predictive, prescriptive, and diagnostic models to address complex business problems and optimize decision-making processes.
    2. Machine Learning & AI Implementation - Design, train, and optimize machine learning models for forecasting, anomaly detection, and automation.
  6. Insightful Reporting & Visualization
    1. Create and deliver high-quality, clear, and actionable reports and dashboards, translating complex data findings into easily understandable insights for both technical and non-technical stakeholders.
    2. Use advanced visualization tools and techniques to convey analytical results effectively to leadership and business teams.
    3. Develop and implement metrics and KPIs that measure the effectiveness of data science initiatives and model performance.
  7. Strategic Collaboration & Stakeholder Engagement
    1. Work closely with business leaders and stakeholders to define data-driven strategies and deliver actionable insights.
    2. Translate complex technical concepts into actionable business insights and recommendations for non-technical audiences.
    3. Partner with IT, engineering, and business teams to integrate data science solutions into operational processes.
  8. Continuous Improvement & Research
    1. Stay abreast of emerging data science techniques, industry trends, and technologies to drive innovation within the team and ensure best-in-class data science practices.
    2. Lead research initiatives that explore new methods for data analysis, modeling, and automation.
    3. 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 data-driven decision-making.
Education/Experience
  • Master's 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 hands-on 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 process with the County of Los Angeles.

Other Skills, Knowledge, and Abilities
  • 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 to 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.
  • 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.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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