Remote Data Scientist Jobs

702 jobs
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FloatMe

FloatMe - Buy Now Pay Later (BNPL) & Consumer Credit - SME

Remote from
Texas (USA)
Nash

Nash - Last-Mile & On-Demand Delivery

Remote from
California (USA)

Pro Tip

Average salary for remote Data Scientist jobs: $145K$228K across all experience levels.

Worldpay

Worldpay - Fintech: Finance + Technology - XLarge

Remote from
Georgia (USA), Massachusetts (USA), Ohio (USA)
Logistics Management Institute

Logistics Management Institute - IT Services & IT Consulting - Large

Remote from
Maryland (USA), Virginia (USA)
McKesson

McKesson - Pharmaceutical Wholesale & Distribution - XLarge

Remote from
Ohio (USA)
Figma

Figma - Computer Software / SaaS - XLarge

Remote from
California (USA), New York (USA)
CrowdStrike

CrowdStrike - Cybersecurity - Large

Remote from
Romania, Spain, United Kingdom
The Home Depot

The Home Depot - Retail – Home Improvement & Building Supplies - XLarge

Remote from
Texas (USA)
Life360

Life360 - Social Networking Platforms - SME

Remote from
United Kingdom, Canada
Diverse Lynx

Diverse Lynx - IT Services & IT Consulting - Large

Remote from
Ohio (USA)
redbee
Data Scientist
9 days ago

redbee - Software Development - SME

Remote from
Colombia, Peru
Swish Analytics

Swish Analytics - Sports Betting & iGaming - Startup

Remote from
California (USA)
Nagarro

Nagarro - IT Services & IT Consulting - XLarge

Remote from
India
TrueML Products

TrueML Products - Debt Collection & Credit Services - SME

Remote from
Argentina, Mexico
Cobblestone Energy

Cobblestone Energy - Carbon Markets & Emissions Trading - Startup

Remote from
United Arab Emirates
Karius

Karius - Genomics & Precision Medicine - Scaleup

Remote from
California (USA), Oregon (USA)
Bosch
Data Scientist
17 days ago

Bosch - Appliances, Electrical & Electronics Manufacturing - XLarge

Remote from
India
Netomi

Netomi - Artificial Intelligence & Machine Learning Services - Scaleup

Remote from
India
Pipe

Pipe - Consumer & Commercial Lending - Scaleup

Remote from
North America, United States
PlayStation

PlayStation - Video Games & Interactive Entertainment - XLarge

Remote from
California (USA)
LexisNexis France

LexisNexis France - Information Services & Data Providers - SME

Remote from
North Carolina (USA), Oregon (USA)
Binance

Binance - Fintech: Finance + Technology - Large

Remote from
Taiwan, Hong Kong, Australia
Elsevier

Elsevier - Information Services & Data Providers - XLarge

Remote from
North Carolina (USA)

Top Countries Hiring Data Scientist Remotely

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Browse thousands of remote opportunities across all industries

+686 new

Data, IT & Product

42074 remote jobs

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+284 new

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16829 remote jobs

e.g.: Account Executive - Field Integrated Solutions (Remote), Account Executive

+275 new

Marketing & Communication

13620 remote jobs

e.g.: Associate Manager, Customer Success, Strategic Accounts Manager, Multi-Family

+185 new

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8444 remote jobs

e.g.: Associate Manager, Customer Success, Strategic Accounts Manager, Multi-Family

+154 new

Finance, Accounting & Audit

8434 remote jobs

e.g.: Vice President Payroll - Enterprise Remote, Staff Engineer, ERP Oracle Cloud SCM Functional Consultant

+114 new

Other

8104 remote jobs

e.g.: BIM Tutor, Registered Nurse - Virtual Nurse Observation (VNO) - FT Nights (NOT a remote position)

+98 new

Strategy & Consulting

7198 remote jobs

e.g.: Crisis Care Consultant, Data Migration Consultant

+131 new

Business & Operation

6711 remote jobs

e.g.: Project Manager, Hospital Coding Quality Specialist - Inpatient / Outpatient

+60 new

Human Resources

2507 remote jobs

e.g.: Global Tech - Change Management Officer, Senior Manager - HR Transformation & Operations

About Data Scientist Jobs

Data science has undergone a significant structural shift in the remote job market over the past several years. The function that was defined by statistical modeling and exploratory analysis is now expected to extend into machine learning engineering, product integration, and business strategy at the senior level. For professionals with 10 or more years of experience, this evolution is both a challenge and an opportunity: the market for traditional data scientists who deliver model outputs without owning the deployment and impact chain has contracted, while the market for senior data science leaders who can own the full arc from business problem to deployed solution is undersupplied. The professionals who have made that transition are operating in genuinely favorable conditions.

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