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Cognitive Data Scientist Jobs (NOW HIRING)

The Data Scientist will play a crucial role in providing: * Data Acquisition, Analytics, and ... Design, develop, and deploy predictive, prescriptive, descriptive, and cognitive AI/ML models and ...

The Data Scientist will play a crucial role in providing: * Data Acquisition, Analytics, and ... Design, develop, and deploy predictive, prescriptive, descriptive, and cognitive AI/ML models and ...

The Data Scientist will play a crucial role in providing: * Data Acquisition, Analytics, and ... Design, develop, and deploy predictive, prescriptive, descriptive, and cognitive AI/ML models and ...

Data Scientist

Arlington, VA · On-site

$120 - $180/hr

The Data Scientist will play a crucial role in providing: * Data Acquisition, Analytics, and ... Design, develop, and deploy predictive, prescriptive, descriptive, and cognitive AI/ML models and ...

Minimum Qualifications MS in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field 5+ ... data exploration and analysis Preferred Qualifications PhD in EE, ECE, CS, Statistics, HCI ...

Minimum Qualifications BS in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field 3+ ... Python for data exploration and analysis Preferred Qualifications MS or PhD in EE, ECE, CS ...

... Cognitive Services, SAS, R, SQL, DB2, GitHub, and Power BI . You do not need to be an expert in every technology listed. We're looking for strong data science fundamentals and the ability to learn ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

Data Scientist

Reston, VA · On-site

$113 - $179/hr

Skills and CompetenciesA specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative.Experience must include ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

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Cognitive Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do cognitive data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for cognitive data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a cognitive data scientist?

A Cognitive Data Scientist applies artificial intelligence, machine learning, and cognitive computing techniques to analyze complex data, making systems more adaptive and human-like in decision-making. They work with natural language processing, deep learning, and predictive analytics to extract insights and enhance automation. This role is critical in developing intelligent systems that can process and interpret unstructured data, such as text, speech, and images. Industries like healthcare, finance, and technology leverage cognitive data science to improve recommendations, automate processes, and generate deeper insights.

What does a cognitive data scientist do?

A typical day for a Cognitive Data Scientist involves analyzing complex datasets, designing and training machine learning models, and collaborating with cross-functional teams such as software engineers, UX researchers, and product managers. You might spend time researching new algorithms, fine-tuning natural language processing models, and presenting your findings to stakeholders in both technical and non-technical teams. The role often requires balancing multiple projects, staying current with the latest AI advancements, and ensuring solutions are aligned with user behavior and business objectives. This dynamic environment fosters continuous learning and exposure to cutting-edge cognitive computing applications.

What skills and qualifications are needed to be a cognitive data scientist?

To thrive as a Cognitive Data Scientist, you need expertise in machine learning, natural language processing, data analytics, and a strong foundation in cognitive science, usually backed by an advanced degree in computer science, data science, or a related field. Familiarity with tools like Python, R, TensorFlow, and platforms for processing unstructured data, as well as relevant certifications in AI or cognitive computing, is often required. Exceptional problem-solving, critical thinking, and collaboration skills set candidates apart in multidisciplinary teams. These competencies are vital for developing intelligent systems that can interpret and simulate human cognition to solve complex business problems.

Is cognitive science in demand?

Cognitive science as a field is increasingly in demand in areas such as data analysis, artificial intelligence, and human-computer interaction. Cognitive data scientists, who apply principles from cognitive science to analyze complex data, are sought after for their interdisciplinary skills and expertise in machine learning, neuroscience, and psychology tools. The demand is driven by growth in AI development, user experience research, and cognitive modeling applications.

What is cognitive data science?

Cognitive data science is a field that combines data analysis, machine learning, and cognitive science principles to develop systems that mimic human thought processes. Cognitive data scientists work with large datasets, utilize tools like Python and R, and often focus on natural language processing and pattern recognition to solve complex problems. This role requires strong analytical skills and knowledge of AI techniques to create intelligent solutions.
More about Cognitive Data Scientist jobs

What cities are hiring for Cognitive Data Scientist jobs?

Cities with the most Cognitive Data Scientist job openings:

What states have the most Cognitive Data Scientist jobs?

States with the most job openings for Cognitive Data Scientist jobs include:

Infographic showing various Cognitive Data Scientist job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Zantech

Arlington, VA • On-site

Full-time

PTO

Posted 12 days ago


Job description

Zantech is looking for a talented Data Scientist to contribute to the success of our upcoming Technical Infrastructure and Platform Support project for an On-Site role based out of Arlington, VA.
The Data Scientist will play a crucial role in providing:
  • Data Acquisition, Analytics, and Governance Services (technical lead for all Task 3 work)
  • Cybersecurity and Information Assurance (Responsible AI / AI TRiSM, RLS/CLS-compliant model outputs)

The Data Scientist serves as the technical lead, owning the strategy, design, and deployment of advanced analytical and AI/ML models. Extracts, transforms, and analyzes complex, multi-source data sets to generate actionable insight that informs workforce, logistics, and operational decision-making for leadership.
Responsibilities include, but will not be limited to:
  • Design, develop, and deploy predictive, prescriptive, descriptive, and cognitive AI/ML models and dashboards in collaboration with stakeholders
  • Apply NLP, network analysis, and bibliometric analysis to S&T portfolio data
  • Support automated MLOps lifecycle management, including model registry, drift monitoring, and automated retraining triggers
  • Ensure AI/ML outputs comply with Responsible AI (RAI) governance and inherit Row-Level/Column-Level Security controls
  • Provide onboarding, training, and ongoing support to build a data-literate workforce

Required Experience or Knowledge of the following technologies/functions:
  • Ten (10)+ years developing and deploying analytical models to address S&T or business requirements within a DoW organization
  • 10 years in data science (statistical analysis, predictive modeling, machine learning, algorithm development in Python, R, and SQL)
  • 10 years in data wrangling and batch/streaming pipeline development, integrating structured and unstructured sources; experience on at least 2 distinct projects applying NLP, network analysis, or bibliometric analysis to S&T portfolio data
  • 10 years using data visualization tools (Tableau, Power BI, matplotlib)
  • 5 years with big data and cloud-based analytics platforms
  • 5 years applying operational analytics to workforce, logistics, or readiness missions.
  • Skills Required:
    • Statistical analysis and predictive/prescriptive/descriptive/cognitive modeling
    • Python, R, SQL; ML/AI model development and MLOps lifecycle management
    • Natural Language Processing (NLP), network analysis, and bibliometric analysis of S&T data
    • Data visualization and stakeholder communication of analytical findings
    • Federal data governance and security frameworks (NIST SP 800-53, FISMA, DoD RMF)

Required Education/Certifications:
  • Education Required:
    • Master's degree in computer science, engineering, or a related discipline, and 10+ years of experience
  • BA/BS with 12+ years of experience is an accepted substitute,
  • Education Preferred:
    • Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field
  • Not specified
  • Cloud ML/AI platform certification (e.g., AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate)
  • Certifications Required:
  • Certifications Preferred:

Required Security Clearance:
  • US Citizenship and the ability to obtain and maintain an active Secret or higher clearance, per contract requirements.

"Outstanding Performance...Always!"
Our corporate motto represents our commitment to build long-term relationships with both our clients and our employees by providing the highest quality service in everything we do. We strive for excellence for our clients and for each other. We embrace the opportunity to hire individuals with new talents and fresh perspectives. Zantech offers competitive compensation, strong benefits, and a vacation package, as well as a fast-paced and exciting work environment. Come join our team!