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Full Time Samsung Data Scientist Jobs (NOW HIRING)

IQUASAR LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

One of our clients in San Diego, CA, needs a Data Scientist for a full-time position. Position: Data Scientist (Machine Learning Engineer) Location: San Diego, CA Clearance Level: Secret iQuasar is ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

Willingness to work full time in a hybrid work environment in theWashingtonDC area. * Bachelor's or Master'sDegree in a technical field (e.g., data science, statistics, computer science, mathematics ...

Elder Research

Data Scientist

Arlington, VA · On-site

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

iQuasar LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

One of our clients in San Diego, CA, needs a Data Scientist for a full-time position. Position: Data Scientist (Machine Learning Engineer) Location: San Diego, CA Clearance Level: Secret iQuasar is ...

ManTech International

Data Scientist

Arlington, VA · On-site

... Type Full time Description & Requirements Elevate your career with MANTECH International ... As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax ...

CACI

Data Scientist

Tampa, FL · On-site

Data Scientist Job Category ... Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular ...

Battelle Memorial Institute

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

This position is a full-time opportunity located in Chantilly, VA. Battelle's Chemical, Biological ... Responsibilities As a Data Scientist, the selected individual will apply advanced data science ...

Battelle

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

This position is a full-time opportunity located in Chantilly, VA. Battelle's Chemical, Biological ... Responsibilities As a Data Scientist, the selected individual will apply advanced data science ...

Booz Allen Hamilton

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

The Aerospace Corporation

Data Scientist

El Segundo, CA · On-site

$95K - $142K/yr

The selected candidate will be required to work full-time on-site at our facility in El Segundo, CA ... Data Science specialists work on teams spanning various disciplines, experience levels, and ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Willingness to work full time, on-site, embedded at US Government offices in the Washington, DC ...

Booz Allen Hamilton, Inc.

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

NorthEastern

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

About the Opportunity JOB SUMMARY This is a full-time, one-year term appointment with the ... The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Willingness to work full time, on-site, embedded at US Government offices in the Washington, DC ...

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All Jobsfull time JobsFull Time Samsung Data Scientist Jobs

Full Time Samsung Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do full time samsung data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for full time samsung data scientist 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 does a full time Samsung data scientist do?

A Full Time Samsung Data Scientist analyzes large sets of data to extract meaningful insights that guide business decisions and product development at Samsung. They work with machine learning models, data visualization tools, and statistical techniques to solve complex problems in areas such as consumer electronics, mobile devices, and smart technology. Their responsibilities include data collection, cleaning, analysis, and interpreting results to support innovation and efficiency across Samsung’s products and services. Collaboration with engineers, product managers, and other stakeholders is also a key part of the role. These professionals help Samsung stay competitive by leveraging data-driven strategies.

What are the key skills and qualifications needed to thrive as a full time Samsung data scientist?

To thrive as a Full Time Samsung Data Scientist, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with programming languages like Python or R, experience with data visualization tools, and familiarity with big data platforms such as Hadoop or Spark are commonly required, along with relevant certifications. Strong problem-solving abilities, effective communication, and teamwork help you translate complex data insights into actionable business strategies. These skills are essential for driving innovation and supporting data-driven decision-making in a fast-paced tech environment like Samsung.

How does a full time Samsung data scientist typically collaborate with cross-functional teams?

As a Full Time Data Scientist at Samsung, you’ll frequently work alongside engineers, product managers, and business analysts to develop data-driven solutions that support product innovation and business objectives. Collaboration often involves translating complex data insights into actionable recommendations, participating in brainstorming sessions, and integrating models into production environments. You'll also present findings to both technical and non-technical stakeholders, ensuring alignment between data science initiatives and company goals. Effective communication and teamwork are key to success in this collaborative environment.

What is the difference between Full Time Samsung Data Scientist vs Full Time Samsung Data Analyst?

AspectFull Time Samsung Data ScientistFull Time Samsung Data Analyst
Required CredentialsTypically requires a master's or PhD in Data Science, Computer Science, or related fieldsUsually requires a bachelor's degree in related fields; certifications can enhance prospects
Work EnvironmentInvolves complex data modeling, machine learning, and predictive analyticsFocuses on data interpretation, reporting, and supporting decision-making
Employer & Industry UsageCommonly employed in R&D, product development, and advanced analytics teams at SamsungUsed in marketing, sales, and operational teams for data reporting and insights

In summary, Samsung Data Scientists focus on developing models and algorithms, requiring advanced degrees and technical expertise. Data Analysts primarily interpret data and generate reports, often with less emphasis on complex modeling. Both roles are vital but differ in scope and technical depth.

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The most popular types of Samsung Data Scientist jobs are:

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Full Time Samsung Data Scientist jobs near you
Infographic showing various Full Time Samsung Data Scientist 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

IQUASAR LLC

San Diego, CA • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 12 days ago

Key responsibilities

  • Write code to extract and pre-process training data sets, handling disparate data formats and APIs.

  • Research, select, and develop appropriate ML/DL algorithms and models to tackle AI problems across various data domains.

  • Work alongside other AI/ML and DevOps engineers to establish automated AI workflows that continuously provide inferences and predictions.

Job description

iQuasar is seeking to fill an  Data Scientist/Machine Learning Engineerin San Diego, CA. At iQuasar, we strive to provide the next generation of cutting-edge technologies. Our growth means exciting career opportunities for talented professionals in engineering, software development, and other key areas. We offer competitive compensation and benefits, including Health, Vision, and Dental Insurance, a matching 401 (k) plan, and other benefits given below, excellent training, and a vibrant working environment. Our employees are exceptional, giving us a competitive advantage by innovating solutions with a strong sense of mission and integrity.
One of our clients in San Diego, CA, needs a  Data Scientist for a full-time position.
Position: Data Scientist (Machine Learning Engineer)
Location: San Diego, CA
Clearance Level: Secret

JOB DESCRIPTION:
iQuasar is seeking a highly motivated Data Scientist/Machine Learning Engineer to join our dynamic AI team. In this role, you will leverage machine learning algorithms and software engineering skills to contribute to diverse AI-based projects related to resource planning for ship maintenance, marine transportation, and climate/environmental informatics. Work will involve developing machine learning models that deliver predictive insights and analytics for robust, web-based full-stack AI applications spanning both government (DoD, DoT, NOAA, etc.) and commercial domains.
Responsibilities:
  • Write code to extract and pre-process training data sets, handling disparate data formats and APIs.
  • Research, select, and develop appropriate ML/DL algorithms and models to tackle AI problems across disparate data domains (Navy, Transportation, Environmental Sciences, Healthcare, Public Safety, etc.).
  • Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt engineering, computer vision, and NLP tools.
  • Work alongside other AI/ML and DevOps engineers to establish automated AI workflows that continuously provide inferences/predictions.
  • Develop validation and test routines to measure and evaluate the quality of predictions.
Required Qualifications
  • 2+ years' programming experience in Python
  • Completed coursework in Machine Learning, Deep Learning, Algorithm Design, and Data Science
  • Knowledge of Python libraries such as Pandas, scikit-learn, Keras, TensorFlow, and/or PyTorch
  • Good understanding of databases and API-based data ETL operations
  • Strong knowledge of Linux or Unix-like OS.
  • Excellent coding skills in Python, ability to handle and analyze large data sets/streams, and familiarity with web frameworks such as Fast API, Django and Flask.
  • Experience handling git repositories.
  • US citizenship and the ability to obtain and maintain a final DoD adjudicated Secret Clearance
Preferred Qualifications
  • Strong knowledge of DevOps tools and practices.
  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with agile development methodologies and continuous integration/continuous deployment (CI/CD) pipelines.
  • Proficiency in MS Office Applications
  • Strong written and oral communication skills
  • Attention to detail, procedural compliance, and the ability to manage multiple duties simultaneously while meeting deadlines
  • Experience working in Agile environments
  • DoD adjudicated secret clearance
EDUCATION: 
  • Bachelor's degree (Master's degree preferred) in Computer Science/Engineering/Data Science or other STEM related discipline.