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Data Scientist Data Jobs (NOW HIRING)

Info Way Solutions is a company seeking a Data Scientist / Data Analyst to join their team. The role involves conducting data analysis, building dashboards, and communicating insights to stakeholders ...

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities of data scientists include a ...

Data Scientist Location: Springfield, VA Clearance: TS/SCI Citizenship: US Citizenship Required Whether running countries, corporations, or courtrooms, our clients bear the responsibility for shaping ...

Data Scientist Location: St. Louis, MO Clearance: TS/SCI Citizenship: US Citizenship Required Whether running countries, corporations, or courtrooms, our clients bear the responsibility for shaping ...

Data Scientist Location: St. Louis, MO Clearance: TS/SCI Citizenship: US Citizenship Required Whether running countries, corporations, or courtrooms, our clients bear the responsibility for shaping ...

Data Scientist Location: Springfield, VA Clearance: TS/SCI Citizenship: US Citizenship Required Whether running countries, corporations, or courtrooms, our clients bear the responsibility for shaping ...

About the Opportunity As a Data Scientist, you are a passionate collaborator who works closely with team members and stakeholders. You relish the opportunity to bring your ideas, love of coding, data ...

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Data Scientist (Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed) Our client is building a data-driven ...

MANTECH seeks a motivated, career and customer-oriented Data Scientist in Fort Meade, MD , to drive cutting-edge statistical analytics and cloud-based data solutions for national security objectives.

The Data Scientist will design, prototype, and implement a data management and application development pipeline in support of national defense data science and data architecture prototyping tasks.

Data Scientist

Chantilly, VA · On-site

$150 - $181/hr

Title: Data Scientist Data Scientist provides Systems Engineering and Technical Assistance (SETA) support to our customer's mission by evaluating, assessing, and improving advanced analytics ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

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Data Scientist Data information

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$46K

$165K

$243.5K

How much do data scientist data jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data scientist data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

AspectData Scientist DataData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; often includes certifications in machine learning or data analysis toolsDegree in Statistics, Mathematics, or related fields; certifications in data visualization or analysis tools are common
Work EnvironmentDevelops predictive models, advanced analytics, and machine learning algorithms; often in R&D or data science teamsPrepares reports, visualizations, and interprets data for business decisions; typically in business intelligence teams
Employer & Industry UsageUsed across tech, finance, healthcare, and e-commerce industries for complex data modelingCommon in retail, marketing, finance, and healthcare for reporting and data interpretation

While both roles analyze data, Data Scientist Data focuses on building predictive models and advanced analytics, whereas Data Analysts primarily interpret data and generate reports for decision-making. The roles often overlap but differ in complexity and scope.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights and build predictive models using statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning frameworks. They often work closely with stakeholders to inform business decisions and require strong analytical, coding, and communication skills.
More about Data Scientist Data jobs

What cities are hiring for Data Scientist Data jobs?

Cities with the most Data Scientist Data job openings:

What states have the most Data Scientist Data jobs?

States with the most job openings for Data Scientist Data jobs include:

Infographic showing various Data Scientist Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist / Data Science Specialist

Adidev Technologies Inc

Dallas, TX

Full-time

Re-posted 13 days ago


Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

JOB RESPONSIBILITIES

 

  • Perform exploratory data analysis, data verification, and cleaning, robust & reproducible statistical analysis with comprehensive reporting of results.

  • Develop novel ways to help business partners achieve objectives through analysis and modeling

  • Curate and connect external data sets for broad enterprise-wide analytic usage

  • Be a storyteller to explain the 'why and how' of your data-driven recommendations to cross-functional teams

  • Utilize machine learning to create repeatable, dynamic, and scalable models

  • Have a passion to advocate and educate on the value and importance of data-driven decision making and analytical methods

  • Responsible for implementing robust testing strategies leading to model optimizations, program effectiveness, and attribution of marketing mix elements

REQUIRED SKILLS

 

  • Experience designing, managing, developing, and analyzing multiple large complex data models spanning multiple disparate sources

  • Comfortable in basic statistical analysis, modeling, clustering, and data mining techniques to identify trends and insights

  • Proficiency in using query languages, such as SQL, Spark Data Frame API, etc. - an advantage

  • Lead the conception, development, and evaluation of new Deep Learning, Natural Language Processing, and Machine learning products.

  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

  • Experience in web technologies and frameworks (TensorFlow, PyTorch, Sci-kit Learn)

  • Familiarity with MLOps frameworks like MLflow.

  • Familiarity with SQL.

  • Some familiarity with AWS Lambda, AWS SageMaker, Jenkins, and Databricks.

  • Hands-on experience with AWS cloud computing services (IAM, EC2, Lambda, S3, DynamoDB, RDS, CloudFormation) for machine learning applications

  • Experience with Python and R, comfortable working with DataFrames

  • Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)

  • Experience with technologies used to build analytics dashboards/applications, such as RShiny, Dash, and Streamlit

  • Experience working with version control systems such as Git and SVN

  • Experience writing complex SQL queries

  • Understanding data warehousing and databases is critical

  • Experience with business intelligence/ visualization tools such as Qlik, Tableau or  PowerBI

QUALIFICATIONS

  • ·Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science

  • Experience with Python

  • Experience with machine learning, Deep Learning

  • Mathematical and statistical background

  • Experience with Hadoop, Hive, and/or Spark

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours) 

Employment Type: FULL_TIME