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 Oct 31, 2026

Hiring at a glance

View jobs

Open jobs: 7,636
Employers: 2,757

Advertised starting pay

Average starting payUSD / year: $147,581Across 1,396 listings
Average starting payUSD / hour: $64.61Across 250 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%486 listings
On-site: 12%945 listings

Not specified: 70% (5,314 listings)

Employers hiring include Salesforce.com (285), Apple (146), Booz Allen Hamilton_United States (125).

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 1 day ago
A
Data Architect, BI Analytics Platform
Assured
Remote, United States
- $210,000 to $270,000 USD / year
Added 1 day ago
AI Vision Machine Learning Engineer
hemlocksem
Hemlock, MI
Added 1 day ago
Quantitative Analyst – Quant Analyst Program
Millennium
New York
Added 1 day ago
Senior Data Scientist
LinkedIn
Sunnyvale, CA
Added 1 day ago
Lead Data Scientist
Victoria's Secret & Co
New York, NY
The Lead Data Science Consultant will be a seasoned data science leader in the customer & marketing areas partnering effectively with enterprise marketing & customer insights teams to scale…
Added 1 day ago
IG
Sr. Data Scientist - Poly - 2174
Insight Global
Dranesville, VA
- From $105 USD / hour
Experience writing Python scripts that pull data from web-based APIs and relational databases
Added 1 day ago
Robotics Machine Learning Engineer
Raydar
San Francisco, CA
…Own machine learning work for physical robots, from collected data through to a learned control policy running on hardware. The role covers building data tooling, training and refining…
Added 1 day ago
Data Scientist
Applied Materials
Santa Clara, CA · Santa Clara
Added 1 day ago
Data Scientist
Applied Materials, Inc
Santa Clara, CA
Added 1 day ago
Senior Data Scientist – Finance
NVIDIA USA
CA
Added 1 day ago
Senior Machine Learning Engineer, Fulfillment
Instacart
Remote, United States
Added 1 day ago
Senior Data Scientist, Identity Data Science
Intuit
San Diego, CA · Mountain View, CA
Intuit’s Identity Data Science Team is looking for a hands-on Senior Data Scientist who is a creative problem solver with a passion to deliver advanced data-driven solutions. You will work…
Added 1 day ago
Senior Data Scientist - Fort Bragg, NC
F3EA Inc
Fort Bragg, NC
The Senior Data Scientist develops and applies advanced analytics to evaluate POTFF programs, identify readiness and human-performance trends, and support decision-making across the Special…
Added 1 day ago
Data Scientist--JIATF
CACI, INC.-FEDERAL
Alexandria, VA
Are you passionate about solving complex challenges with data? Join a mission-driven team supporting Joint Interagency Task Force (JIATF) 401, where your expertise in data science, machine…
Added 1 day ago
Data Scientist - Sr Associate
JPMorgan Chase
Plano, TX
The Data Scientist Data Product Owner is responsible for overs
Added 1 day ago
Senior Data Scientist, Full-Stack / Cloud / Software
IRC Trane Technologies Company LLC
Davidson, NC
Added 1 day ago
Data Scientist Manager
IRC Trane Technologies Company LLC
Davidson, NC
Added 1 day ago
AIML - Machine Learning Engineer, Evaluation - Responsible AI and Safety
Apple
Cupertino, CA
In this role, you will lead a team of machine learning engineers and data scientists working to assess, quantify, and improve the safety and incl
Added 1 day ago
GI
Data Scientist - San Diego, CA
Guidehouse Inc.
CA
- $113,000 to $188,000 USD / year
Perform data preparation, cleansing, transformation, and exploratory analysis.
Added 1 day ago
Data Scientist - Philadelphia, PA
Guidehouse Inc.
PA
Perform data preparation, cleansing, transformation, and exploratory analysis.
Added 1 day ago
Lead Data Scientist
S&P Global
New York, NY
Job Duties: Standard & Poor’s Financial Services LLC seeks a Lead Data Scientist responsible for leading the design and development of custom machine learning, Generative AI (GAI), Natural…
Added 1 day ago
Consumer & Community Banking - Treasury Data Architect Vice President
JPMC page
Columbus, OH · OH
As a Data Domain Architect Lead in Core Treasury, you will have the unique opportunity to work ac
Added 1 day ago
Chase Customer Insights - Data Scientist Senior Associate
JPMC page
Plano, TX · New York, NY · NY
As a Data Scientist Senior Associate, within the Payments Data & Analytics Customer Insights team, you will
Added 1 day ago
C
Senior Product Data Scientist
Collective
San Francisco, CA
- $180,000 to $230,000 USD / year
Added 1 day ago
Senior Data Scientist
Lingo US Inc
CA

Millennium

Quantitative Analyst – Quant Analyst Program

New York, United States

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Applications open in a new tab.

Job details

Apply by: Apr 28, 2027
Posting language: English
Posted: Oct 30, 2026

Original job description

Quantitative Analyst – Quant Analyst Program

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium's mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team

Millennium's Global Risk Management Department is responsible for identifying, measuring, monitoring, managing and reporting on the risks associated with Millennium's portfolios at the Firm-wide and Portfolio Manager levels, with a focus on the market, credit and liquidity risks the Firm faces in the course of its business. At the Portfolio Manager level, the team establishes and monitors trading parameters, risk guidelines and performance metrics across three regions and multiple product classes, and also monitors aggregations of risk up to the full Firm-wide level. Within Risk Management, the Quantitative Strategies team is a collaborative and entrepreneurial investment team that develops quantitative investment strategies across asset classes, including equities, fixed income, commodities, credit and FX, and across a broad set of instruments spanning futures, forwards, options, swaps and cash products. The team works across the full research lifecycle: idea generation, data sourcing, signal development, model implementation, backtesting, portfolio construction and live strategy refinement. The team is launching a Quant Analyst Program designed to develop early-career quants over 18–24 months into strong, cross-asset systematic researchers through formal technical training, asset class rotations, cross-functional exposure and supervised contribution to the quantitative strategies platform, with senior quant mentorship and quarterly development goals throughout.

What You’ll Do

·Complete a structured 18–24 month development program combining formal technical training in backtesting methodology, signal design, portfolio construction, risk and volatility modeling, and transaction cost modeling.

·Rotate through asset class research across equities, FX, rates, commodities, and options/volatility, learning market structure, common alpha sources, implementation constraints, and risk frameworks in each.

·Conduct original research and contribute new signals and features across quant themes, including equity risk premia, carry, momentum, value, flows, volatility, and dispersion.

·Build and improve shared research infrastructure, including data pipelines, backtesting tools, risk and volatility models, transaction cost models, and performance diagnostics.

·Analyze strategy performance with attention to robustness, implementation, transaction costs, liquidity, and risk exposures, following the team's standards for reproducible, peer-reviewed research.

·Gain hands-on exposure to trading, operations, compliance, technology, and risk to understand how ideas become investable strategies.

·Partner closely with senior quants, portfolio managers, and technologists to move ideas from research into shadow and production.

·Present research in regular team seminars and take ownership of an independent research project, with scope increasing over the program.

What You Bring

·Advanced undergraduate, Master’s, or PhD degree (completed or expected) in a quantitative field such as mathematics, statistics, computer science, physics, engineering, or economics/econometrics.

·Strong Python skills, including experience with common scientific/data libraries such as pandas, NumPy, SciPy, Polars, scikit-learn, or similar tools; SQL experience and C++ are a plus.

·Strong grounding in statistics, probability, optimization, and empirical modeling, with rigorous model evaluation and healthy skepticism around overfitting.

·Genuine interest in financial markets and systematic investing; prior internship or research exposure to finance is helpful but not required.

·Research discipline and the demonstrated ability to conduct independent, reproducible research, evidenced by academic projects, a thesis or dissertation, publications, or internships.

·Familiarity with derivatives, machine learning, large datasets, or time series analysis is helpful but not required.

·High intellectual curiosity, creativity, and proactive problem-solving.

·Strong written and verbal communication skills and the ability to work in a transparent, collaborative team.

Salary Range

Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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