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Cognizant Data Science Jobs (NOW HIRING)

Cognizant

$165 - $194/hr

... Cognizant office in San Francisco, CA. Regardless of your working arrangement, we are here to ... Data Science, or Management. * 14-18 years of experience in Life Sciences commercial analytics ...

ECS

Senior Data Scientist

WA · On-site

This isn't just another data science role-it's an opportunity to transform raw data into actionable ... Validation of required clearances upon acceptance and approval from a cognizant government ...

Cognizant

Agentic AI MCP Integration Specialist

Cognizant is seeking an Agentic AI MCP Integration Specialist to design, implement, and support ... Data Science, or a related field. • 5+ years of experience in software engineering, API ...

Cognizant

Agentic AI Developer

Cognizant is seeking an Agentic AI Developer to design, build, and deploy intelligent AI agents for ... Required : • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data ...

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Cognizant Data Science information

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$243.5K

How much do cognizant data science jobs pay per year?

As of Jul 16, 2026, the average yearly pay for cognizant data science 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.

How do Data Scientists at Cognizant typically collaborate with cross-functional teams to deliver data-driven solutions?

At Cognizant, Data Scientists regularly work alongside business analysts, domain experts, engineers, and project managers to understand client requirements and translate them into actionable insights. Collaboration often involves participating in agile sprint meetings, sharing progress during stand-ups, and jointly developing models or dashboards with engineering teams. This cross-functional approach ensures that data science solutions are aligned with business objectives and are technically feasible, while fostering a culture of knowledge sharing and continuous improvement.

What is a Cognizant Data Science job?

A Cognizant Data Science job involves using statistical analysis, machine learning, and data engineering to solve business problems for clients of Cognizant, a global IT services company. Data scientists at Cognizant collect, clean, and analyze large datasets to provide actionable insights and build predictive models. They work with various industries, such as healthcare, finance, and retail, to help organizations make data-driven decisions. The role often requires strong programming skills, knowledge of data visualization tools, and experience with big data technologies.

What is the difference between Cognizant Data Science vs Cognizant Data Analyst?

AspectCognizant Data ScienceCognizant Data Analyst
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, reporting, basic analytics
CertificationsData Science certifications, SQL, PythonExcel, SQL, basic analytics certifications
Work EnvironmentDeveloping models, predictive analytics, researchData reporting, visualization, data management
Industry UsageTech, finance, healthcare, consultingRetail, marketing, operations

While Cognizant Data Science focuses on building predictive models and advanced analytics, Cognizant Data Analysts primarily handle data reporting and basic analysis. Both roles require familiarity with data tools, but Data Science positions demand stronger programming and statistical skills. Understanding these differences helps in choosing the right career path within Cognizant's data teams.

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

To thrive as a Cognizant Data Scientist, you need strong proficiency in statistics, machine learning, programming (Python/R), and a relevant degree in computer science, mathematics, or engineering. Familiarity with technical tools like TensorFlow, SQL, Hadoop, and cloud platforms such as AWS or Azure is highly valued, along with relevant certifications. Exceptional problem-solving, communication, and business acumen set top performers apart, enabling them to translate data insights into actionable strategies. These skills are crucial for delivering impactful data-driven solutions that drive business value and innovation for clients.
More about Cognizant Data Science jobs
What cities are hiring for Cognizant Data Science jobs? Cities with the most Cognizant Data Science job openings:
What states have the most Cognizant Data Science jobs? States with the most job openings for Cognizant Data Science jobs include:
What job categories do people searching Cognizant Data Science jobs look for? The top searched job categories for Cognizant Data Science jobs are:
Cognizant Data Science jobs near you
Infographic showing various Cognizant Data Science job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 79% Full Time, 11% Part Time, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist - Demand Forecasting

Data Scientist - Demand Forecasting

Cognizant Technology Solutions

Plano, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

41st of 58 rated business consultants

Job description

About the role
As a Data Scientist - Demand Forecasting, you will make an impact by developing, optimizing, and operationalizing advanced forecasting models that support strategic business planning across North America. You will be a valued member of the Data Science team and work collaboratively with business stakeholders, data engineers, analytics teams, and technology partners to drive forecast accuracy and actionable insights
Must have 12 + years of experience to be considered
In this role, you will:
  • Develop, enhance, and deploy demand forecasting models to support business planning and decision-making.
  • Improve forecast accuracy, reduce bias, and drive consistency across multiple markets and business segments.
  • Support quarterly forecasting cycles through model validation, business reviews, and stakeholder engagement.
  • Perform model experimentation, testing, monitoring, and ongoing performance optimization.
  • Build scalable data science solutions using Python, PySpark, Databricks, and cloud-based technologies while maintaining efficient data pipelines and documentation.

Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days per week in a client or Cognizant office in Plano, Texas. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
  • Proven experience developing and deploying production-grade Data Science and Machine Learning solutions.
  • Strong hands-on experience with Databricks, including PySpark, SQL, and Delta Lake.
  • Advanced proficiency in Python for data science, analytics, and integration with APIs and external services.
  • Experience building and orchestrating data pipelines using Azure Data Factory (ADF).
  • Strong understanding of cloud-based data platforms, preferably within the Microsoft Azure ecosystem.
  • Experience working with large-scale datasets and distributed data processing frameworks.
  • Knowledge of CI/CD practices for Databricks deployments and releases.
  • Experience with Azure DevOps and/or GitHub Actions for automation and deployment workflows.
  • Strong analytical, problem-solving, and independent decision-making capabilities.
  • Excellent communication skills with the ability to engage effectively with both technical and business stakeholders.

These will help you stand out
  • Experience supporting demand forecasting, supply chain planning, or sales forecasting initiatives.
  • Knowledge of scenario modeling, hierarchy reconciliation, and long-range forecasting methodologies.
  • Experience monitoring model performance and implementing continuous model improvement strategies.
  • Familiarity with MLOps best practices and model operationalization in enterprise environments.
  • Ability to translate complex technical concepts into business-friendly insights and recommendations.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
Applications will be accepted until July 26, 2026
The annual salary for this position is between $ 115,000 - $ 130,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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