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Cognizant Data Science Jobs (NOW HIRING)

Cognizant Technology Solutions

Content Writer

Mesa, AZ · On-site

... Science, Journalism or related Language fields is preferred * Experience annotating data with ... Cognizant will only consider applicants for this position whom are legally authorized to work in ...

SynergisticIT

Java Developer

Manhattan, NY

$56.25 - $72.75/hr

Data Scientist Opportunity At SynergisticIT, we aim to bring aboard IT professionals to help them ... Cognizant, Client, PayPal, to name a few. Our seasoned team firmly believes that the new tech ...

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How much do cognizant data science jobs pay per year?

As of Jun 12, 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.
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Cognizant Data Science jobs near you
Subject Matter Expert - Computer Vision -Remote

Subject Matter Expert - Computer Vision -Remote

Cognizant Technology Solutions

Chicago, IL • On-site, Remote

$140K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants

Job description

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
About Us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com.
About Cognizant's IoT Practice:
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things-but with it, our modern connected products facilitate a unified way of life enjoyed by all.
Role Summary
We are seeking an experienced Computer Vision Subject Matter Expert (SME) to lead the design and implementation of advanced vision solutions that enhance automation, safety, and operational efficiency across retail, warehouses, distribution centers, fulfillment centers, and manufacturing plants.
This role demands deep technical expertise in vision systems, edge computing, and cloud integration, combined with leadership and communication skills to drive enterprise-scale deployments.
Key Responsibilities
  • Solution Architecture: Define and implement scalable vision architectures for multi-site environments, ensuring reliability and performance.
  • Computer Vision Development: Build and optimize algorithms for object detection, tracking, anomaly detection, and quality assurance using frameworks like OpenCV, TensorFlow, and PyTorch.
  • Edge & Cloud Integration: Deploy vision models on resource-constrained devices and integrate with AWS, Azure, or GCP for centralized analytics and reporting.
  • Performance Optimization: Ensure low-latency inference, efficient resource utilization, and robust failover mechanisms for production systems.
  • Governance & Standards: Establish best practices for security, compliance, and data management in vision deployments.
  • Cross-Functional Collaboration: Work closely with operations, engineering, and business teams to align vision solutions with organizational goals.

Required Technical Skills
  • Computer Vision: Object detection, segmentation, tracking; OpenCV, TensorFlow, PyTorch.
  • Edge AI: NVIDIA Jetson, Intel Movidius; model optimization (TensorRT, quantization).
  • Cloud Platforms: AWS, Azure, or GCP for data processing and analytics.
  • Programming: Python, C++, containerization (Docker/Kubernetes).
  • Security & Compliance: Secure deployments, certificate management, and data privacy standards.

Soft Skills
  • Communication: Ability to convey complex technical concepts to diverse stakeholders.
  • Ownership & Accountability: Drive end-to-end delivery of vision solutions.
  • Collaboration: Partner effectively with cross-functional teams.
  • Problem-Solving: Analytical mindset for troubleshooting and optimization.
  • Leadership: Mentor teams and influence technology decisions.

Nice-to-Have
  • Experience with industrial automation and quality control systems.
  • Familiarity with large-scale deployments in retail or manufacturing environments.
  • Knowledge of regulatory compliance for video and image data.

Qualifications
  • Bachelor's/Master's in Computer Science, Electrical Engineering, or related field.
  • 10+ years in Computer Vision with 3+ years in enterprise-scale deployments.
  • Proven track record in designing and delivering production-grade vision systems.

KPIs & Success Metrics
  • Improved operational efficiency and automation across sites.
  • High system uptime and performance consistency.
  • Compliance with security and privacy standards.

Travel Requirement: This is a remote role with 30-40% travel to client sites and operational facilities.
Compensation: - $140,000 to $180,000 +/- and 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. Application will be accepted by 8/10/2026
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
#LI-CT1
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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