Data scientist jobs in the United States

Find data scientist jobs across the United States. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 1, 2026

Hiring at a glance

View jobs

Open jobs: 7,629
Employers: 2,749

Advertised starting pay

Average starting payUSD / year: $147,499Across 1,392 listings
Average starting payUSD / hour: $64.51Across 247 listings
Average starting payUSD / month: $9,496Across 14 listings

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

Where work happens

Remote: 12%891 listings
Hybrid: 6%482 listings
On-site: 12%939 listings

Not specified: 70% (5,317 listings)

Employers hiring include Salesforce.com (285), Apple (146), Booz Allen Hamilton_United States (124).

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 the United States

Save this search

Added 1 day ago
Data Scientist III (AmSec), Veritas
Amazon.com Services LLC
Seattle, WA
…protecting the confidentiality and integrity of Amazon and customer data. We assess risk, classify data and systems, detect intrusion, and drive mitigation at…
Added 1 day ago
Principal Data Scientist – DDSAI GD
J&J Family of Companies
Titusville, NJ
Added 1 day ago
Senior Data Architect
Datavail Corporation
Remote, United States
Datavail is hiring a Senior Data Architect to lead the design and delivery of modern data platforms for our clients
Added 1 day ago
S
Principal Data Architect & Technical Product Owner
SteerBridge
Vienna, VA · Washington, DC
- $170,000 to $190,000 USD / year
Added 1 day ago
PhD Machine Learning Engineer, Intern
Stripe
NY · Seattle, WA · San Francisco, CA
Added 1 day ago
Master's Machine Learning Engineer, Intern
Stripe
NY · Seattle, WA · San Francisco, CA
Added 2 days ago
Senior Data Scientist
Pacific Gas And Electric Company
Danville, CA
Added 2 days ago
Data Scientist - Sr. Associate
JPMC page
Columbus, OH
As a Data Scientist within the Business Banking Deposit & Cash Management
Added 2 days ago
Data Scientist (AI Adoption Specialist)
Organization of the Joint Chiefs of Staff
Pentagon, VA
…goals of the JS OCDAO. The incumbent champions AI-enhanced data governance and leads the design, development, and implementation of enterprise AI solutions, intelligent data pipelines, and…
Added 2 days ago
Senior Data Scientist - Government & Public Services
Deloitte
Rosslyn, VA
Added 2 days ago
Principal Data Scientist
Trinzic
Reston, VA
Added 2 days ago
Data Scientist
BOOZ, ALLEN & HAMILTON, INC.
Alexandria, VA
In this role, you will apply data science techniques and methods and leverage a suite of data-driven tools to aid the client's service leadership and subject matter experts to increase…
Added 2 days ago
Data Scientist--JIATF
CACI
Alexandria, VA · Alexandria
Join a mission-focused team supporting Joint Interagency Task Force (JIATF) 401 by applying advanced data science, statistical analysis, machine learning, and data engineering methodologies…
Added 2 days ago
GI
Senior Data Scientist
GitHub, Inc.
United States
- $124,000 to $329,200 USD / year
GitHub is seeking experienced professionals to elevate our data and analytics efforts. As a Senio
Added 2 days ago
Data Scientist
Booz Allen Hamilton_United States
Arlington, VA
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning and artificial intelligence…
Added 2 days ago
A
Principal Data Scientist
AbbVie
Irvine, CA
- $124,500 to $236,500 USD / year
Added 2 days ago
A
Principal Data Scientist
AbbVie
Mettawa, IL
- $124,500 to $236,500 USD / year
Added 2 days ago
Data Scientist, Sr. Associate
JPMC page
Jacksonville, FL · Plano, TX · Columbus, OH
This is an experienced Data Scientist position on the Home Lending Data & Analytics team supporting Originations, partnering primarily with Marketing to drive campaign performance through…
Added 2 days ago
New College Grad - Data Scientist, AI for Business Functions
Micron Technology, Inc.
Boise, ID
The AI for Business Functions organization uses data science, machine learning, sophisticated analytics, and AI technologies to address intricate business issues across function
Added 2 days ago
Intern - HBM Data Scientist
Micron Technology, Inc.
Richardson, TX
The Data Science team employs advanced analytics, machine learning, and AI technologies to improve semiconductor manufacturing performance and decision-making. By combining stat
Added 2 days ago
Sr Applied Data Scientist - Personalization (applied ML, PyTorch, RecSys)
Target
Brooklyn Park, MN
Added 2 days ago
Sr Applied Data Scientist - Personalization (applied ML, PyTorch, ML Ops)
Target
Brooklyn Park, MN
Added 2 days ago
Lead Machine Learning Engineer - Merchandising AI (ML Ops)(Remote Or Hybrid)
Target
Brooklyn Park, MN
Added 2 days ago
Machine Learning Engineer II
Mimecast North America, Inc.
Minneapolis, MN
Added 2 days ago
Senior Associate, Data Scientist - Business Cards Marketing Data Science
Capital One
NY
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the…

Robert Half

Machine Learning Engineer

Los Angeles, CA, United States

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Applications open in a new tab.

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.

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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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