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 5, 2026

Hiring at a glance

View jobs

Open jobs: 7,832
Employers: 2,841

Advertised starting pay

Average starting payUSD / year: $147,517Across 1,439 listings
Average starting payUSD / hour: $64.07Across 249 listings
Average starting payUSD / month: $8,733Across 13 listings

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

Where work happens

Remote: 11%874 listings
Hybrid: 6%491 listings
On-site: 13%1,024 listings

Not specified: 69% (5,443 listings)

Employers hiring include Salesforce.com (285), Apple (145), Booz Allen Hamilton_United States (116).

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 12 days ago
Data Scientist & AI ELH - RTP 2027
IBM
DURHAM, NC
Added 12 days ago
Public Investments Quantitative Analyst
NORTHWESTERN MUTUAL LIFE INSURANCE
MILWAUKEE, WI
Added 12 days ago
Data Scientist, North America Sort Centers, Amazon Transportation Services
Amazon
Bellevue, WA
As a Data Scientist II, you will own the end-to-end Machine learning Operation cycle: Design, build, and ship machine learning and/
Added 12 days ago
Machine Learning Engineer 4 (IC)
Capital One
New York, NY
Added 12 days ago
Data Scientist Principals #IN1291
Cummins Inc.
Columbus, IN
Added 12 days ago
Sr. Computer Vision and Machine Learning Engineer, Creativity Apps
Apple
Cupertino, CA · Seattle, WA
Added 12 days ago
Data Architect Senior-Asset Management Group (AMG)
PNC
Strongsville, OH
…an opportunity to contribute to the company’s success. As an Data Architect Senior within PNC's Technology…
Added 12 days ago
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Applied Data Scientist
Cognizant
Mason, OH
- $130,000 to $150,000 USD / year
As an Applied Data Scientist , you will make an impact by designing, developing, and implementing AI and machine learning solutions that solve complex business challenges and drive…
Added 12 days ago
C
Data and Machine Learning Engineer
Cognizant
Mason, OH
- $130,000 to $150,000 USD / year
As a Data and Machine Learning Engineer , you will make an impact by designing, building, and optimizing scalable data platforms and machine learning solutions within a Microsoft Azure…
Added 12 days ago
Data Scientist, Principal - AI Product Engineering
California Physician Services
Darbydale, OH
…scale." Reporting to the Director, AI & Machine Learning, the Data Scientist, Principal will lead the development and deployment of novel applications that leverage generative AI models.…
Added 12 days ago
Payments Data Scientist
GLOBAL PAYMENT HOLDING COMPANY
Cincinnati, OH
…this position.Ready to take your career global? Turn complex data into insights and intelligent products that make everyday commerce better. As a Data Scientist at Global Payments, you'll…
Added 12 days ago
CC
Senior Data Scientist / Data Scientist III
Cleveland Clinic
Cleveland, OH
- $112,110 to $170,955 USD / year
As a Senior Data Scientist or Data Scientist, you will utilize statistical and m
Added 12 days ago
Data Scientist
Gilbane Building Company
Cleveland, OH
Data Scientist Job Locations US-RI-Providence | US-OH-Cleveland | US-OH-Columbus | US-IN-Indianapolis | US-FL-Jacksonville | US-WI-Milwaukee | US-FL-Orlando | US-PA-Pittsburgh |…
Added 12 days ago
Data Architect, Databricks
McKesson Corporation
Columbus, OH
Added 12 days ago
Staff Data Scientist - Databricks
State Farm
Bloomington, IL · Dunwoody, GA · Richardson, TX · Tempe, AZ
Added 12 days ago
W
(USA) Staff, Data Scientist
Walmart
BENTONVILLE, AR
- $110,000 to $220,000 USD / year
…Payable (AP), Post Payment Audit (PPA), and Cerebro. We combine data science, data engineering, software engineering, and business expertise to identify financial anomalies, uncover root…
Added 12 days ago
Data Scientist
State of Connecticut
Hartford, CT
The Connecticut Office of Correction Ombudsman within the Office of Government Accountability (OGA) is accepting applications for a Data Scientist in Hartford.
Added 12 days ago
Senior Data Scientist - Risk Prediction Engine
CVS Health
New York, NY
Added 12 days ago
Data Scientist (Data/AI Architect)
Federal Communications Commission
Washington, DC
…FILL ADDITIONAL POSITIONS WITHIN 90 DAYS. Responsibilities As Data / AI Architect, the incumbent serves as a subject matter expert and advisor, using data science principles to support…
Added 12 days ago
Payer Healthcare Data Scientist, Director
PwC
Washington, DC
As a Payer Healthcare Data Scientist you will lead data science efforts within our Advisory practice, focusing on payer modernization work that improves core operations, platform execution,…
Added 12 days ago
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Senior Data Scientist
Microsoft
United States
- $119,800 to $261,000 USD / year
We are seeking a Senior Data Scientist to help design, scale, and continuously improve the analytical models that power sales quota setting and incentive programs. This role sits at the…
Added 12 days ago
Payer Healthcare Data Scientist, Director
PwC
Stamford, CT
As a Payer Healthcare Data Scientist you will lead data science efforts within our Advisory practice, focusing on payer modernization work that improves core operations, platform execution,…
Added 12 days ago
M
Principal Data Scientist - AI Infrastructure
Microsoft
United States
- $142,800 to $331,200 USD / year
As a Principal Data Scientist – AI Infrastructure Data team member, you will own end-to-end delivery of strategic data science projects and partner with customers and internal teams to…
Added 12 days ago
Sr. data scientist- Data & Analytics (Nashville, TN)
Starbucks Coffee Company
Nashville
Now Brewing – Senior/Lead Data Scientist! #tobeapartner
Added 12 days ago
Data Architect / Data Engineering Lead - Finance
Accenture LLP Company
NY
The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients…

Code Plus Inc

DoDAF Data Architect

United States

Remote

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Job details

Workplace: Remote
Posting language: English
Posted: Sep 14, 2026

Original job description

CODE Plus, Inc., an experienced IT government contractor in Fairfax, VA with offices in Huntsville, AL and have been in business for 31 years and have been servicing different agencies within the Federal sector. Our mission is to deliver high-quality, cost-effective solutions that empower our clients to achieve their goals. At CODEplus, we value teamwork, integrity, and technical excellence, and we pride ourselves on maintaining long-standing partnerships built on trust and results. DoDAF Data Architect – Business Mission Area Position: DoDAF Data Architect Location: Remote Focus Area: Business Mission Area (BMA) Position Overview The BMA Data Architect serves as the primary technical authority for designing, modeling, and unifying enterprise business data across the Department of War (DoW). In this role, you will align disparate Defense Business Systems (DBS) with the DoD Business Enterprise Architecture (BEA) to drive data-driven portfolio management and business transformation. By utilizing the Department of Defense Architecture Framework (DoDAF), you will ensure that the business systems driving logistics, finance, human resources, and acquisition are fully interoperable, audit-ready, and optimized to cost-effectively support the warfighter.

The primary mission of this architect is to ensure that “data means the same thing” across logistics, finance, and personnel systems (semantic interoperability). You will work closely with functional business process owners, rather than designing models strictly from technical documentation.

What You’ll Do

BEA Alignment: Lead the alignment of component-level business architectures with the enterprise-level DoD Business Enterprise Architecture (BEA).
DBS Data Modeling: Develop conceptual, logical, and physical data models for Defense Business Systems (DBS) to ensure seamless data exchanges.
DoDAF Viewpoint Development: Create DoDAF 2.0 artifacts (such as DIV-1, DIV-2, DIV-3, OV-5a, and SV-8) specifically tailored to map business processes and information flows.
Portfolio Interoperability: Design data integration standards that unify data across different Functional Area Managers (FAMs) like finance, procurement, and logistics.
Audit & Compliance Support: Architect data structures that support Financial Improvement and Audit Remediation (FIAR) compliance and Federal Enterprise Architecture (FEA) standards.
ERP Cloud Migration: Define the target data architecture and migration pathways for shifting heritage Enterprise Resource Planning (ERP) databases to secure cloud environments.

Required Skills & Qualifications Enterprise Architecture

Knowledge of the DoD Business Enterprise Architecture (BEA), Federated Architectures, and the Federal Enterprise Architecture Framework (FEAF).

DoDAF & Modeling Tools

Experience building DoDAF data views using enterprise modeling software (e.g., ARIS, System Architect, UML).

ERP Data Management

Experience with data schemas for large-scale federal ERP suites (such as SAP S/4HANA or Oracle EBS).

Data Governance & MDM

Experience in Master Data Management (MDM), business glossaries, data lineage, and establishing metadata repositories.

Compliance & Reporting

Familiarity with DoD financial systems, FIAR requirements, and data-driven portfolio management platforms (e.g., Advana/Vantage).

Ideal Candidate This position is well suited for an experienced DoDAF, Enterprise Architecture, or Data Architecture professional who understands how business processes, enterprise data, Defense Business Systems, and DoD architecture fit together. The successful candidate will be comfortable working across technical and functional organizations and translating complex business processes and data requirements into enterprise architecture products that support interoperability, modernization, compliance, and portfolio-level decision making.

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