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Synthetic Data Jobs (NOW HIRING)

Generate and analyze synthetic data to augment computer vision models where real-world data is scarce * Train, evaluate, and optimize deep neural network models on overhead imagery, including ...

Generate and analyze synthetic data to augment computer vision models where real-world data is scarce * Train, evaluate, and optimize deep neural network models on overhead imagery, including ...

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Synthetic Data information

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

To thrive as a Synthetic Data Engineer, you need a strong background in computer science, statistics, and data modeling, usually with a degree in a related field. Experience with programming languages like Python or R, familiarity with machine learning frameworks, and knowledge of data privacy tools are essential. Strong analytical thinking, attention to detail, and effective communication help in designing robust data solutions and collaborating with stakeholders. These skills ensure the creation of high-quality synthetic datasets that support research, model training, and compliance with data privacy regulations.

What is the difference between Synthetic Data vs Data Analyst?

AspectSynthetic DataData Analyst
CredentialsNone required, but knowledge of data generation tools helpfulBachelor's degree in data science, statistics, or related field
Work EnvironmentData labs, software development teams, AI/ML projectsBusiness environments, analytics teams, reporting platforms
Industry UsageAI training, testing, privacy complianceData interpretation, reporting, decision support

While Synthetic Data involves creating artificial datasets for testing and training AI models, Data Analysts focus on interpreting real-world data to generate insights. Both roles require data literacy, but Synthetic Data specialists focus on data generation techniques, whereas Data Analysts analyze existing data to inform business decisions.

What are the main challenges faced by professionals working with synthetic data in a production environment?

One of the primary challenges in a synthetic data role is ensuring that the generated datasets accurately reflect real-world scenarios while maintaining privacy and compliance standards. Professionals often need to balance data utility with the risk of introducing bias or unrealistic patterns. Collaboration with data scientists, engineers, and domain experts is essential to validate results and integrate synthetic data into machine learning pipelines. Additionally, staying updated on evolving tools and best practices is crucial for maintaining data quality and relevance.

What is synthetic data and how is it used?

Synthetic data refers to artificially generated information that mimics real-world data but does not contain any actual personal or sensitive details. It is commonly used to train machine learning models, test software, and protect privacy when sharing datasets. By using synthetic data, organizations can avoid data privacy concerns and still gain valuable insights or test algorithms effectively. This approach is especially valuable in industries like healthcare and finance where real data may be restricted. Synthetic data can be generated using various statistical techniques, simulations, or machine learning models.
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Infographic showing various Synthetic Data job openings in the United States as of June 2026, with employment types broken down into 100% As Needed. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Synthetic Data Transformation leader

Synthetic Data Transformation leader

Tata Consultancy Services

Chicago, IL • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

155th of 204 rated it services


Job description

Job Summary:
Tata Consultancy Services is seeking a Synthetic Data Transformation leader to build and enhance their synthetic data sub-function within the quality engineering organization. The role involves designing a clinical synthetic data harness and collaborating with various teams to create realistic test environments for AI solutions.
Responsibilities:
• Build the synthetic data sub-function within the quality engineering organization.
• Design a clinical synthetic data harness capable of supporting a “hospital twin” or simulated hospital environment for AI solution testing.
• Work with partners to bring Digital-twin and synthetic data generation capabilities that can be leveraged across programs and products.
• Create realistic and privacy-conscious test environments that allow AI teams to evaluate solutions safely before broader adoption.
• Collaborate with QA, engineering, and architecture teams to align simulation capabilities with AI use cases and maturity needs.
• Support iterative refinement of the framework through controlled test environments and high-fidelity synthetic data assets.
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• Strong background in synthetic data, data engineering, simulation, or healthcare data environments.
• Ability to translate quality goals into practical test environments and reusable validation assets.
• Familiarity with regulated healthcare data constraints and enterprise data governance considerations.
• Comfort working in a highly collaborative and evolving greenfield environment.
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

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About Tata Consultancy Services

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Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US