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Data Scientist Jobs (NOW HIRING)

VTG

Data Scientist

Chantilly, VA · On-site

Overview We are seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have ...

Staffingine LLC

Data Scientist

Charlotte, NC · On-site

Data Scientist Job Location: Charlotte, NC Job Type: Contract * Expertise in machine learning statistical modelling and data thoughtfulness to develop and implement advanced algorithms and thoughtful ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Data Scientist Duration: 12+ Months Location: Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve, accelerate, and automate asset inspections processes Strong ...

Microsoft

Data Scientist

Redmond, WA · On-site

As a data scientist at Microsoft AI, you will be tasked with helping us to maximize our GPU utilization while solving real issues in the AI frontier. Are you passionate about solving the most ...

Main Line Health

Data Scientist

Radnor, PA · On-site

Data Scientist Location: Radnor, PA Schedule: Full-Time, Day Schedule Compensation: $77,958.40 - $120,806.40 Why This Role Matters At Main Line Health, data science plays a critical role in ...

Next Gen Alloys

Data Scientist

Cudahy, WI

ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI. As a Data Scientist your work may be focused in a variety ...

Aequor

Data Scientist

Basking Ridge, NJ · Hybrid

The Data Scientist will work in the client group as part of the Data Science Team, and focus on a variety of Data Science projects across the board leveraging data from multiple internal R&D Systems ...

PotomacWave Consulting

Data Scientist

Washington, DC · On-site

$125K - $155K/yr

PotomacWave is looking for a Data Scientist to join our team supporting a Federal client in Washington, DC. This position will support the Office of Intelligence and Counterintelligence. This role ...

Neptune

Data Scientist

Duluth, GA · On-site

Position Summary As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform.

VTG

Data Scientist

Mclean, VA · On-site

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and innovative team in Herndon, VA/Chantilly, VA. What will you do? * Collect, clean, and analyze large, complex ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA

R0241243 Data Scientist The Opportunity: In this role, you will apply data science techniques and met hods and leverage a suite of data-driven tools to aid the client's service leadership and subject ...

Technogen, Inc.

Data Scientist

Camden, NJ · Hybrid

Job Role: Data Scientist Location: Camden, NJ - Hybrid (3 days/week onsite) only locals Duration: Long-Term About the Role The Data Scientist plays a pivotal role in planning, executing, and ...

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All JobsData Scientist Jobs

Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do data scientist jobs pay per year?

As of Jun 8, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What Do Data Scientists Do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What is the job of a data scientist?

A data scientist analyzes large datasets to extract insights and support decision-making using statistical methods, programming, and data visualization tools. They often work with machine learning models and require skills in programming languages like Python or R, as well as knowledge of databases and data analysis techniques.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
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Data Scientist jobs near you
Infographic showing various Data Scientist job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 2% Temporary, and 2% Contract. Highlights an 86% In-person, 2% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

California Creative Solutions Inc.

Mclean, VA • On-site

Other

Posted 13 days ago

Job description

Job Summary:

The office conducts high profile and short fuse data science and targeting requirements on a priority mission. The sponsor requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. The Sponsor requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines.
Please Note:
This job requires an existing Top Secret Clearance and Polygraph.

Responsibilities and Duties:

  • The Team shall work closely with other teams, including data science and programming teams within the Sponsor's broader mission component. The Sponsor project manager will manage the priorities, with The Team working to implement those priorities.
  • The Team shall take the Sponsor's mission needs and convert those into technical milestones consistent with the Sponsor's data science requirements.
  • The Team shall develop and manage data processing ETL pipelines.
  • The Team shall provide ad hoc trainings to Sponsor's data users on custom tools and data exploitation consist stent with established use cases.
  • The Team shall use software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches.
  • The Team shall identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflows.
  • The Team shall identify existing or emerging data science workflows within the Sponsor's broader office that would accelerate the Sponsor's data science mission.
  • The Team shall leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor's technical goals for data management.
  • The Team shall anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor's direction.

Experience Needed:

  • Citizenship: Must Be a US Citizen
  • Existing Clearance Required: Active Top Secret SCI with Poly
  • Demonstrated mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similar.
  • Demonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows.
  • Demonstrated experience leveraging unsupervised machine learning models to answer complex customer queries.
  • Demonstrated experience with a range of Python packages and graph databases.
  • Demonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivity.
  • Demonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languages.

Optional Skills:

  • Demonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to production.
  • Demonstrated experience leading complex data science teams.
  • Demonstrated experience with machine learning solutions.
  • Demonstrated experience working with foreign and domestic partners of the Sponsor.
  • Demonstrated experience writing custom algorithms for data exploitation.
  • Demonstrated experience with complex graph database queries.
  • Demonstrated experience working in high operational tempo environments.
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About California Creative Solutions

Sourced by ZipRecruiter

CCS Global Tech is a Certified Minority-Owned Business based in Poway, California. From our beginnings as a one-man operation in 1997, we’ve grown into an international organization of 700+ employees with offices in five countries and an extensive global reach. We specialize in innovative technology solutions, including business intelligence, analytics, data mining, migrations/integrations, cloud computing, cloud hosting, Microsoft Azure, and more.

Industry

Technology, communication and media

Company size

201 - 500 Employees

Headquarters location

Poway, CA, US

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