Data scientist jobs in the United States (7,875 jobs)

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

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 7,875
Employers: 2,819

Advertised starting pay

Average starting payUSD / year: $147,551Across 1,443 listings
Average starting payUSD / hour: $62.74Across 257 listings
Average starting payUSD / month: $8,669Across 12 listings

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

Where work happens

Remote: 11%870 listings
Hybrid: 6%501 listings
On-site: 13%1,027 listings

Not specified: 70% (5,477 listings)

Employers hiring include Salesforce.com (285), Apple (146), Walmart (117).

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

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Added 27 days ago
Growth Data Scientist - Measurement Lead
NewsBreak
Mountain View, CA
Added 27 days ago
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Sr. Machine Learning Engineer, Anonymization
Mercor
San Francisco, CA · New York, NY
- $180,000 to $500,000 USD / year
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of…
Added 27 days ago
M
Lead Data Scientist
Middesk
San Francisco, CA · New York, NY
- $210,000 to $250,000 USD / year
Middesk is building the data and intelligence infrastructure that helps businesses work together with confidence. We started by creating a comprehensive platform for understanding…
Added 27 days ago
M
Data Scientist
Middesk
San Francisco, CA · New York, NY
- $175,000 to $210,000 USD / year
Middesk is building the data and intelligence infrastructure that helps businesses work together with confidence. We started by creating a comprehensive platform for understanding…
Added 27 days ago
M
Data Analytics Consultant
MeridianLink
Remote, United States
- $69,840 to $96,000 USD / year
MeridianLink is seeking a Data Analytics Consultant with a strong foundation in credit risk analysis and consumer lending performance to support financial institutions in optimizing their…
Added 27 days ago
Senior Staff / Principal Machine Learning Scientist, AI Inference & Optimization
Netskope
Santa Clara, CA
…networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the…
Added 27 days ago
Data Scientist Coach (Director+)
Mento
Remote, United States
We are looking for senior leaders in data science roles who have experience within technology companies or tech-adjacent environments, value learning, growth, and community and who are…
Added 27 days ago
Salesforce Data Architect, Revenue Solutions
NeuraFlash, Part of Accenture
Remote, United States
Added 27 days ago
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Machine Learning Engineer Intern
Neuralink
South San Francisco, CA
- $35 USD / hour
Added 27 days ago
Machine Learning Engineer
Neuralink
Austin, TX · South San Francisco, CA
Added 27 days ago
Machine Learning Engineer (Video Foundation Models & Agentic AI)
Maxinsights
Santa Clara, CA
Added 27 days ago
MM
Sr. Data Scientist
Mariana Minerals
San Francisco, CA · Houston, TX · Ann Arbor, MI
- $140,000 to $173,000 USD / year
We're hiring a Senior Data Scientist to be the person who makes those numbers trustworthy and legible. You'll own
Added 27 days ago
MM
Machine Learning Engineer (Autonomy)
Mariana Minerals
San Francisco, CA · Houston, TX · Ann Arbor, MI
- $140,000 to $180,000 USD / year
…industry expertise with advanced software, automation, and data-driven…
Added 27 days ago
MM
Staff Machine Learning Engineer
Mariana Minerals
Ann Arbor, MI
- $160,000 to $240,000 USD / year
…industry expertise with advanced software, automation, and data-driven…
Added 27 days ago
MM
Machine Learning Engineer
Mariana Minerals
Ann Arbor, MI · Houston, TX · San Francisco, CA
- $120,000 to $180,000 USD / year
…industry expertise with advanced software, automation, and data-driven…
Added 27 days ago
MM
Staff Machine Learning Engineer (Autonomy)
Mariana Minerals
San Francisco, CA · Houston, TX · Ann Arbor, MI
- $160,000 to $200,000 USD / year
…industry expertise with advanced software, automation, and data-driven…
Added 27 days ago
Machine Learning Scientist, Multimodal AI
Natera
Remote, United States
Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This role develops and deploys deep learning models across digital pathology, genomics,…
Added 27 days ago
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Machine Learning Engineer
Latent
San Francisco, CA
- $225,000 to $300,000 USD / year
Added 27 days ago
Machine Learning Engineer
Krea
San Francisco, CA
Added 27 days ago
K
Data Scientist (Product)
Kalshi
New York City, NY
- $100,000 to $250,000 USD / year
Added 27 days ago
Senior Remote Sensing Data Scientist, Cal/Val
Muon Space
Denver, CO
…characterization, and space-based environmental monitoring. Muon's IR Data Products team builds the analytics system that processes the data from our spacecraft's custom multispectral…
Added 27 days ago
Remote Sensing Data Scientist
Muon Space
Denver, CO
…characterization, and space-based environmental monitoring. Muon's IR Data Products team builds the analytics system that processes the data from our spacecraft's custom multispectral…
Added 27 days ago
J
Senior Data Scientist, Product Analytics
January
New York, NY
- $191,500 to $220,000 USD / year
Added 27 days ago
Machine Learning Engineer, Associate Director (Chicago)
Fitch Group
Chicago, IL
Added 27 days ago
Senior Data Scientist, CompBio
insitro
South San Francisco, CA
We are looking for a computational biologist with expertise across diverse data modalities, including deep experience in either omics or imaging readouts, a strong understa

Latent

Machine Learning Engineer

San Francisco, CA, United States

$225,000 to $300,000 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $225,000 to $300,000 USD / year
Posting language: English
Posted: Sep 29, 2026

Original job description

ABOUT LATENT

Latent is the enterprise pharmacy intelligence platform, powered by a clinical agentic engine, that enables health systems to grow their pharmacy operations and serve more patients. One engine works across the pharmacy journey to identify patients who qualify for care, improve medication access, capture eligible prescriptions and support patients throughout treatment. Latent’s platform enables more than 60 leading health systems that collectively serve an estimated 70 million people. Founded by Sriram “Sri” Somasundaram and Rishabh Jain, Latent has raised $80 million from Transformation Capital, Spark Capital, Conviction, General Catalyst, Y Combinator, and others.

THE ROLE

The Machine Learning team is responsible for building systems that run in real clinical workflows. We work on verifiable reinforcement learning at scale, mid-training and post-training of foundation models, and novel objectives derived from longitudinal patient data. We are a small group of researchers and engineers focused on pushing the frontier while shipping real systems into production, and we expect engineers to take ownership of critical systems, not components.

As a Machine Learning Engineer, you will own the design, development, and operation of production-grade ML systems that run in real clinical workflows. You will drive systems from ambiguous problem definition through to reliable production deployment, setting technical direction along the way. We are primarily hiring for senior and staff-level engineers who are comfortable owning critical systems end-to-end. This role involves owning systems that directly impact real patient outcomes.

WHAT YOU'LL DO

Own end-to-end ML systems, including architecture, data, modeling, evaluation, and production infrastructure
Train and fine-tune large language models (LLMs) for:
Clinical reasoning
Medical question answering
Evidence-grounded generation
Make and own tradeoffs across accuracy, latency, cost, and safety in high-stakes production environments
Develop evaluation frameworks to ensure model safety and clinical validity
Integrate ML systems into product workflows and patient-facing applications
Monitor system performance in production and iterate based on real-world usage and feedback
Define what “correct” means in ambiguous clinical workflows in collaboration with engineers and clinicians

WHAT WE'RE LOOKING FOR

Strong foundation in machine learning and software engineering
Track record of building and owning ML systems in production where performance, reliability, or correctness materially mattered
Experience driving ambiguous ML problems from 0→1, including problem formulation, model design, and productionization
Hands-on experience with PyTorch or similar frameworks
Ability to operate independently in high-ambiguity environments with minimal guidance
Strong product and engineering judgment - you know when to use ML, when not to, and how to scope problems accordingly
Comfort working in a fast-moving, early-stage environment
Experience working on systems where decisions have real-world consequences (e.g., healthcare, finance, infrastructure)

NICE TO HAVE

Experience deploying LLMs in production environments
Experience building distributed systems or large-scale data pipelines
Experience working with clinical, biomedical, or other regulated datasets

WHY JOIN LATENT

Backed by top-tier investors including General Catalyst, Conviction, and Y Combinator
Work alongside a high-caliber team building products our healthcare partners love
Work on mission-critical problems at the intersection of AI and healthcare
Real ownership and visibility
High-impact role on a small, fast-growing team

BENEFITS

Competitive compensation, including meaningful equity
Medical, dental, and vision insurance for employee and dependents
Flexible PTO policy
Paid parental leave
Fertility and family-building stipend through Carrot

Apply About employer

More about this job

Skills

Machine learning
ML
Monitor system performance
Collaboration
PyTorch

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