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Full Time Samsung Data Scientist Jobs (NOW HIRING)

Samsung SDSA

Data Scientist - Hadoop stack

San Jose, CA · On-site

... At Samsung, we encourage our employees to showcase their talent through our diverse corporate ... We are seeking a data scientist with at least 1 year of experience working with large data sets and ...

Publicis Groupe Holdings B.V

Data Scientist

Chicago, IL · On-site

... Samsung, Visa and more. Overview The Data Scientist at Starcom will play a hands-on role in creating, testing and scaling analytics solutions within the Databricks environment. Sitting within our ...

Samsung SDS

Data Scientist - Hadoop stack

San Jose, CA · On-site

... At Samsung, we encourage our employees to showcase their talent through our diverse corporate ... We are seeking a data scientist with at least 1 year of experience working with large data sets and ...

Samsung

Data Scientist

San Jose, CA

Company Description We are seeking a data scientist with at least 1 year of experience working with large data sets and 10 years of total professional experience. This role is expected to translate ...

Samsung

Data Scientist

San Jose, CA · On-site

Company Description We are seeking a data scientist with at least 1 year of experience working with large data sets and 10 years of total professional experience. This role is expected to translate ...

Artefact

Senior Data Scientist

Manhattan, NY

With over 2,000 employees, 36 offices on five continents, and world-class clients like Samsung ... An undergraduate degree with strong academic performance * 1-2 years of full-time experience in ...

Artefact

Senior Data Scientist

Manhattan, NY · On-site

With over 2,000 employees, 36 offices on five continents, and world-class clients like Samsung ... An undergraduate degree with strong academic performance * 1-2 years of full-time experience in ...

Victory

Data Scientist

Austin, TX · On-site +1

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Citizen Employment Type: FULL_TIME

Innovizant LLC

Data Scientist

Madison, WI · On-site

Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. • Experience in Statistical modeling. • Candidate will ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

Madison, WI Full Time (Direct Hire) 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. Experience in Statistical modeling. Candidate will be helping ...

VTG

Data Scientist

Chantilly, VA

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of ... UNAVAILABLEEmployment Type: FULL_TIME

VTG

Data Scientist

Mclean, VA · On-site

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of ... UNAVAILABLEEmployment Type: FULL_TIME

VTG

Data Scientist

Herndon, VA

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of ... UNAVAILABLEEmployment Type: FULL_TIME

VTG

Data Scientist

Beavercreek, OH · On-site

The Data Scientist will design, prototype, and implement a data management and application ... UNAVAILABLEEmployment Type: FULL_TIME

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Full Time Samsung Data Scientist information

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$46K

$165K

$243.5K

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

As of Aug 18, 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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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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Scientist

Samsung Electronics Co., Ltd.

Taylor, TX • On-site

$90K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

127th of 159 rated electronics manufacturers

Job description

About Samsung Austin Semiconductor
Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow.
Come innovate with us!
Position Summary
As a Senior Data Scientist at Samsung Austin Semiconductor, you will build and deploy machine learning systems that directly improve our semiconductor manufacturing process. Your work will center on anomaly detection, root cause analysis, and virtual metrology. You will spend most of your time working with high-frequency time-series and tabular data, engineering features, training models, and ensuring your results are clear and actionable for process engineers. You will own the full model lifecycle: data preparation, algorithm selection, deployment, monitoring, and ongoing tuning.
The team operates in a collaborative, sprint-driven environment where you will have the autonomy to design your own technical approaches, test new methods, and iterate quickly based on feedback. Prior semiconductor experience is helpful but not required; you will learn the domain through hands-on projects and direct support from the team.
Role and Responsibilities
Here's What You'll Be Responsible For:
  • Build supervised machine learning models for anomaly detection using high-frequency tabular and time-series data.
  • Enhance data collection and processing workflows to create robust, high-quality test datasets that ensure model accuracy, relevance, and integrity.
  • Design, train, and iterate on predictive models that integrate various process and quality data sources emphasizing algorithm selection, feature engineering, and rigorous model validation.
  • Engineer features from continuous time-series streams, combine process variables meaningfully, and build reliable methods for handling missing or sparse data.
  • Manage the full modeling workflow including cross-validation, hyperparameter tuning, experiment tracking, model versioning, and automated retraining schedules.
  • Set clear statistical benchmarks for model performance and monitor deployed models in production.
  • Communicate complex technical findings to both fellow data scientists and process engineers.

Skills and Qualifications
Here's what you'll need:
Required
  • Bachelor's degree or higher in Data Science, Statistics, Computer Science, Physics, or a related quantitative field (Master's or PhD preferred).
  • 5+ years of professional experience designing, training, and deploying machine learning models.
  • Solid working knowledge of regression, classification, ensemble methods, feature engineering, and model evaluation metrics.
  • Advanced proficiency in Python for data analysis and modeling, plus strong SQL skills for extracting and transforming large datasets.
  • Experience building and maintaining ML pipelines for experiment tracking, model versioning, automated retraining, and live performance monitoring.

Preferred
  • A track record of turning open-ended questions into clear machine learning problems and delivering models that run reliably in production.
  • Hands-on experience with tabular data techniques like categorical encoding, missing value imputation, and model interpretability methods such as SHAP.
  • Comfort working in an Agile environment where you can prototype quickly, validate results with real data, and refine models based on direct feedback from engineering teams.
  • Practical experience using PySpark to process, transform, and scale large datasets for machine learning workflows.

The current base salary range for this role is between $90,000 - $174,500. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.
Total Rewards
At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.
We offer a comprehensive benefits package, including:
  • Medical, dental, and vision insurance
  • Life insurance and 401(k) matching with immediate vesting
  • Onsite café(s) and workout facilities
  • Paid maternity and paternity leave
  • Paid time off (PTO) + 2 personal holidays and 10 regular holidays
  • Wellness incentives and MORE

Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.
All positions at Samsung Austin Semiconductor are full-time on-site.
U.S. Export Control Compliance
This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.
Trade Secrets Notice
By submitting an application, you agree not to disclose to Samsung-or encourage Samsung to use-any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.
* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.
* Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

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