Data scientist jobs in Compton, CA and nearby (178 jobs)

Data scientist jobs within 25 miles of Compton, CA. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 178
Employers: 105

Advertised starting pay

Average starting payUSD / year: $150,777Across 57 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 4%7 listings
On-site: 13%24 listings

Not specified: 83% (147 listings)

Employers hiring include Snap Inc. (9), The Walt Disney Company (9), Disney Entertainment & Sports LLC (6).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Compton, CA and nearby

Within 25 miles

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Added 1 day ago
WD
Staff Machine Learning Engineer
Walt Disney Pictures
Burbank, CA
- $158,100 to $211,900 USD / year
Added 2 days ago
Senior Data Scientist
StubHub
Los Angeles, CA
Added 2 days ago
Senior Data Scientist
StubHub
Los Angeles, CA
Added 2 days ago
Lead Machine Learning Engineer
UMG Recordings Inc
Santa Monica, CA
Added 2 days ago
Principal Machine Learning Scientist
UMG Recordings Inc
Santa Monica, CA
Added 2 days ago
Associate Data Scientist
FASHIONPHILE
Los Angeles, CA
Added 3 days ago
Data Architect
US Tech Solutions
Pasadena, CA
Added 3 days ago
IG
Sr. Data Scientist (ML)
Insight Global
Glendale, CA
- From $68 USD / hour
6+ years professional experience in Data Science, Machine Learning, or Applied AI.
Added 4 days ago
Data Scientist 3
ACSC Auto Club Of Southern Calif
Costa Mesa, CA
As our Data Scientist 3, you will handle multiple projects at once and act as an internal business consultant to help optimize every facet of this organization. You will solve problems and…
Added 4 days ago
Applied Machine Learning Engineer
The Aerospace Corporation
El Segundo, CA
Added 6 days ago
Converge Signals, FSI - Data Scientist_Products & Platforms
Deloitte US
Costa Mesa, CA · Inglewood, CA · Los Angeles, CA
Added 8 days ago
V
Data Scientist III
Vizio
LOS ANGELES, CA
- $108,000 to $216,000 USD / year
Duties: Presents data insights and recommendations to key stakeholders by developing insights based on data analysis; applying analytical results to project goals; identifying trends and…
Added 8 days ago
Data Scientist , Music DISCO
Amazon.com Services LLC
Culver City, CA
Added 9 days ago
Machine Learning Engineer
Robert Half
Los Angeles, CA
Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and…
Added 9 days ago
Data Scientist III
Kaiser Permanente
Pasadena, CA
The Data Scientist III develops and applies advanced an
Added 9 days ago
R and Python Programmer / Data Scientist, Epidemiologic Research (Durational with Benefits)
Kaiser Permanente
Pasadena, CA
…programming languages (may include SAS, SQL, SPSS, R, Python, etc.), data management, quality control, and reporting for projects as appropriate; extracting, manipulating, and merging large…
Added 9 days ago
University - Data Scientist
Booz Allen Hamilton_United States
El Segundo, CA
As a Data Scientist, you will support analytics projects that help clients make data‑driven decisions. You’ll apply foundational skills in data exploration, analysis, and visualization…
Added 9 days ago
Sr Machine Learning Engineer
Disney Entertainment & Sports LLC
Santa Monica, CA
…of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business…
Added 10 days ago
VS
Data Scientist III
Vizio Services LLC
Los Angeles, CA
- $108,000 to $216,000 USD / year
Added 10 days ago
Research Data Scientist - Urology, Hung Lab
Cedars-Sinai
West Hollywood, CA
Dr. Andrew Hung is looking for a Research Data Scientist to join a diverse team!
Added 10 days ago
Data Scientist - Level 3 or 4
Northrop Grumman
Commerce, CA
Added 10 days ago
Sr Data Scientist
Amgen
Los Angeles, CA
Added 10 days ago
CO
SENIOR DATA SCIENTIST
County of Los Angeles
Los Angeles, CA
- $10,149 to $13,677.36 USD / month
Added 10 days ago
Senior Data Scientist
GSB Solutions
Los Angeles, CA
…pipelines, predictive models, feature engineering, forecasting, and data-driven…
Added 11 days ago
Data Architect- Aerospace, Defense, and Mobility Sector - Senior Manager- Consulting - Open Location
EY
Los Angeles, CA
…serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data…

Robert Half

Machine Learning Engineer

Los Angeles, CA, United States

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Job details

Experience: 5+ years of experience building, deploying, and operating production machine learning systems.
Posting language: English
Posted: Sep 24, 2026

Original job description

Description

Machine Learning Engineer

Company Overview

Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.

Role Summary

The Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments.

Key Responsibilities

Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.
Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.
Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.
Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.
Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.
Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.
Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.
Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.
Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.
Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.
Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.
Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.
Improve model calibration, confidence scoring, uncertainty estimation, and explainability.
Contribute to technical architecture, machine learning standards, and long-term platform strategy.

Additional Details

Fully onsite 5 days a week
Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support
Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives
Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements

Requirements

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, Applied Mathematics, Data Science, or a related field, or equivalent practical experience.
5+ years of experience building, deploying, and operating production machine learning systems.
Proven ability to independently own end-to-end machine learning development, deployment, monitoring, and optimization.
Strong Python software engineering skills with experience developing production-grade applications.
Demonstrated expertise developing and training machine learning models from raw data through production deployment.
Experience designing datasets, feature engineering pipelines, and model training strategies.
Hands-on experience with machine learning operations (MLOps), including deployment automation, monitoring, model drift detection, retraining, and lifecycle management.
Broad experience across multiple machine learning domains, including computer vision, natural language processing (NLP), geospatial analytics, forecasting, anomaly detection, or entity resolution.
Experience working with graph-based data models, relational data, or knowledge graph environments.
Strong understanding of experimental design, model evaluation, calibration, uncertainty estimation, and error analysis.
Experience working with complex, incomplete, evolving, or heterogeneous datasets.
Excellent written and verbal communication skills.

Preferred Qualifications (Nice-to-Haves)

Experience leading machine learning initiatives across multiple concurrent production models and use cases.
Expertise in knowledge graph technologies, graph machine learning, link prediction, or entity matching.
Experience with geospatial intelligence, trajectory analysis, location-based analytics, or time-series modeling.
Background in Bayesian methods, probabilistic forecasting, survival analysis, or ensemble learning techniques.
Experience with vector databases, graph databases, PostgreSQL, analytical lakehouse platforms, or large-scale data infrastructure.
Experience serving machine learning models in cloud, on-premises, edge, or disconnected environments.
Knowledge of model optimization techniques including quantization, distillation, and efficient inference.
Experience supporting regulated, defense, public sector, intelligence, aerospace, or high-consequence operational environments.
Familiarity with TypeScript or full-stack integration of machine learning capabilities into production applications.
Experience mentoring engineers, establishing machine learning best practices, and defining technical standards.

Compensation & Benefits

$200K-$300K + discretionary bonus
Performance-based bonus opportunities
Comprehensive medical, dental, and vision coverage
Retirement savings program
Generous paid time off and company holidays
Professional development and continuing education support
Opportunity to work with cutting-edge AI, machine learning, and analytics technologies

Technology Doesn't Change the World, People Do.®

Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more.

Robert Half will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s Terms of Use (https://www.roberthalf.com/us/en/terms) and Privacy Notice (https://www.roberthalf.com/us/en/privacy) .

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More about this job

Skills

Machine learning
Process improvement
Natural language processing
Forecasting
Hazard assessment
Data engineering
Create model
Maintain machinery
Develop models
Estimating
Computer science
Statistics
Python
Data models
Communication skills
PostgreSQL
TypeScript
Coaching

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