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Linkedin Data Scientist Jobs (NOW HIRING)

Overview BigBear.ai is seeking a Senior Data Scientist to conduct data analytics, data engineering ... For more information, visit and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

Discover more by following us on LinkedIn! GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the ...

Discover more by following us on LinkedIn! GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the ...

Discover more by following us on LinkedIn! GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the ...

Discover more by following us on LinkedIn! GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the ...

Discover more by following us on LinkedIn! GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the ...

Discover more by following us on LinkedIn! GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the ...

Overview BigBear.ai is seeking a Senior Data Scientist to conduct data analytics, data engineering ... For more information, visit and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

Discover more by following us on LinkedIn! GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the ...

Discover more by following us on LinkedIn! GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the ...

Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. We are looking for exceptional people to ...

... LinkedIn and X, and discover the projects we're solving on our Blog. Be sure to explore our ... as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics ...

Senior Data Scientist Company: Ipsen Pharma (SAS) About Ipsen: Ipsen is a mid-sized global ... For more information, visit us at and follow our latest news on LinkedIn and Instagram . Ipsen is a ...

... LinkedIn and X, and discover the projects we're solving on our Blog. Be sure to explore our ... as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics ...

... LinkedIn and X, and discover the projects we're solving on our Blog. Be sure to explore our ... as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics ...

For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed ... We are seeking a qualified Data Scientist Analyst to work within the Division of Applied AI ...

Data Scientist & Engineer

Manhattan, NY ยท On-site

$84K - $110K/yr

For more information, go to med.nyu.edu , and interact with us on LinkedIn , Glassdoor , Indeed ... We are seeking a qualified Data Scientist Analyst to work within the Division of Applied AI ...

Sr Data Scientist

Saint Paul, MN ยท On-site

$118K - $177K/yr

Ecolab Digital is seeking an Artificial Intelligence & Analytics - Sr Data Scientist focused AI and ... Follow us on Twitter @ecolab, Facebook at facebook.com/ecolab, LinkedIn at Ecolab or Instagram ...

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Linkedin Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do linkedin data scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for linkedin data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Linkedin Data Scientist vs Data Analyst?

AspectLinkedin Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming languages like Python or RBachelor's degree in related fields; skills in Excel, SQL, and data visualization tools
Work EnvironmentCollaborates with data engineering, product teams, and management; often involved in machine learning and predictive modelingFocuses on data cleaning, reporting, and descriptive analysis; works closely with business teams
Employer & Industry UsageCommon in tech, finance, and consulting firms; roles often posted on LinkedInFound across various industries including retail, healthcare, and finance; frequently listed on job boards

While both roles analyze data, a Linkedin Data Scientist typically handles complex modeling and machine learning tasks, whereas a Data Analyst focuses on data reporting and insights. The Data Scientist role requires advanced technical skills and often involves predictive analytics, making it more specialized compared to the Data Analyst position.

What does a LinkedIn Data Scientist do?

A LinkedIn Data Scientist analyzes large datasets to extract insights that inform business decisions, improve user experience, and drive product innovation on the LinkedIn platform. They use statistical analysis, machine learning, and data visualization to understand patterns in user behavior and recommend actions to optimize engagement and growth. Their work often involves collaborating with product managers, engineers, and other stakeholders to design experiments, build predictive models, and communicate findings effectively.

What are the key skills and qualifications needed to thrive as a LinkedIn Data Scientist, and why are they important?

To thrive as a LinkedIn Data Scientist, you need a strong foundation in statistics, machine learning, and programming (typically Python or R), along with an advanced degree in computer science, statistics, or a related field. Familiarity with big data tools (like Hadoop or Spark), data visualization platforms, and experience with SQL and cloud-based analytics are commonly required. Strong problem-solving, communication, and collaboration skills help translate complex data insights into actionable business strategies. These skills ensure data-driven decision-making that fuels product innovation and enhances user engagement on the platform.

How does a Data Scientist at LinkedIn typically collaborate with cross-functional teams to drive impact?

At LinkedIn, Data Scientists frequently work alongside product managers, engineers, designers, and business analysts to identify and solve complex problems. They use data-driven insights to inform product development, optimize user experiences, and influence strategic decisions. Collaboration often involves regular meetings, brainstorming sessions, and presenting findings to both technical and non-technical stakeholders. This cross-functional teamwork enables Data Scientists to ensure their models and analyses align with business goals and have measurable impact.
More about Linkedin Data Scientist jobs
What cities are hiring for Linkedin Data Scientist jobs? Cities with the most Linkedin Data Scientist job openings:
What states have the most Linkedin Data Scientist jobs? States with the most job openings for Linkedin Data Scientist jobs include:
Infographic showing various Linkedin Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Sr. Data Scientist

Sr. Data Scientist

BigBear.ai

Washington, DC โ€ข On-site

Other

Posted 24 days ago


Job description

Overview
BigBear.ai is seeking a Senior Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific techniques to correlate data into graphical, written, visual, and verbal narrative products to enable more informed analytic decisions. The successful candidate will proactively retrieve information from various sources, analyze it for better understanding, and assist with building AI tools that automate key processes. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the "ground level" of a new and exciting program with a critical Department of War (DoW) customer.
All applicants must currently reside in the United States.
What you will do
Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Perform statistical analysis, apply data mining techniques, and build high quality prediction systems. The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Additionally, the candidate should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.
What you need to have
  • Must possess a TS/SCI clearance with a CI poly (or ability to obtain)
  • Bachelor's degree in data science, data engineering, mathematics, or another related field
  • Minimum of 8 years of experience conducting analysis using data science or engineering, with at least a portion of experience within the last 2 years
  • Deep understanding and experience using Python, R, and/or SQL
  • Prior experience with large data, multi-INT analytics, machine learning, and automated predictive analytics

What we'd like you to have
  • Master's degree in data science, data engineering, mathematics, or another related field (an additional 5 years of experience may be substituted for this requirement)
  • At least 12 years of experience conducting analysis using data science or engineering, with at least a portion of experience within the last 2 years
  • Experience working creating products for Object Based Intelligence purposes
  • Experience within the DoW and/or the US Intelligence Community

About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.