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Cognitive Computing Analyst Jobs (NOW HIRING)

IBM

Senior Forward Deployed Engineer

San Francisco, CA · On-site

$123K - $169K/yr

... data analysis and business acumen to tackle complex cognitive computing challenges. Your strong foundation in AI, NLP, and ML will enable you to deliver comprehensive cognitive solutions that ...

IBM

Research Scientist - TS/SCI (FSP)

Bethesda, MD · On-site

... analysis and business acumen to tackle cognitive computing challenges. You will architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large ...

PaxeraHealth

Data Science Developer

Newton, MA · Remote

... cognitive computing technologies to solve problems, and is involved in the formulation and ... Collect, preprocess, and analyze large datasets to identify patterns and features. * Develop and ...

SonSoft Inc.

Data Architect

Pennington, NJ · On-site

$64.25 - $82.75/hr

... Cognitive Computing Tools, RPA etc.) • Strong knowledge of database modeling principles ... analytical and organizational skills. • Should possess excellent communication and articulation ...

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Cognitive Computing Analyst information

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$35.5K

$99.2K

$127K

How much do cognitive computing analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for cognitive computing analyst in the United States is $99,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $126,500.00 per year, depending on experience, location, and employer.

What is a cognitive computing analyst?

Cognitive Computing Analysts are professionals who leverage artificial intelligence, machine learning, and advanced data analytics to help organizations solve complex problems and make better decisions. They analyze large datasets, build and implement cognitive models, and interpret insights generated by intelligent systems. Their work often involves developing solutions that mimic human thought processes, such as natural language understanding and pattern recognition, to enhance business operations and customer experiences.

What are the key skills and qualifications needed to thrive as a cognitive computing analyst?

To thrive as a Cognitive Computing Analyst, you need expertise in data analysis, artificial intelligence (AI), machine learning, and a solid background in computer science or related fields. Familiarity with programming languages like Python or R, experience with cognitive platforms such as IBM Watson, and relevant certifications (e.g., in AI or data science) are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and convey insights to stakeholders. These skills are crucial for designing, implementing, and optimizing cognitive systems that drive business innovation and efficiency.

What are the common challenges faced by cognitive computing analysts when integrating AI solutions into existing business processes?

Cognitive Computing Analysts often encounter challenges such as bridging the gap between technical AI models and real-world business requirements. Integrating AI solutions typically involves adapting complex algorithms to legacy systems, ensuring data quality, and managing change within cross-functional teams. Additionally, analysts must balance the need for innovative solutions with practical constraints like budget, regulatory compliance, and scalability. Effective communication and collaboration with stakeholders from IT, data science, and business units are crucial to overcoming these challenges.

What is the difference between Cognitive Computing Analyst vs Data Scientist?

AspectCognitive Computing AnalystData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; certifications in AI or machine learningBachelor's or higher in CS, statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentTech companies, AI labs, research institutionsBusiness, finance, healthcare, tech firms
Employer & Industry UsageFocus on AI systems, cognitive solutions, and AI-driven applicationsFocus on data analysis, predictive modeling, and insights generation

The main difference is that a Cognitive Computing Analyst specializes in developing and managing AI systems that simulate human cognition, while a Data Scientist focuses on analyzing data to extract insights and build predictive models. Both roles require strong technical skills and often overlap in machine learning expertise, but their primary focus and application areas differ.

What are popular job titles related to Cognitive Computing Analyst jobs?

For Cognitive Computing Analyst jobs, the most frequently searched job titles are:

Senior Research Scientist - TS/SCI (FSP)

Bethesda, MD • On-site

AIToolboard
See more jobs at AIToolboardexternal

$105K - $134K/yr

Other

Posted 23 days ago

Job description

Jobs / Senior Research Scientist - TS/SCI (FSP)

Senior Research Scientist - TS/SCI (FSP)

Full-time

About the Role

IntroductionA career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.Your Role And ResponsibilitiesAs a seasoned Data Scientist specializing in Artificial Intelligence, you will leverage your expertise in combining data analysis and business acumen to tackle complex cognitive computing challenges. Your strong foundation in AI, NLP, and ML will enable you to deliver comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data. Your primary responsibilities will include:

  • Architect AI Solutions: Design and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, utilizing tools like Github Copilot and Amazon Code Whisperer.
  • Develop Cognitive Computing Systems: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, leveraging expertise in NLP, ML, and AI frameworks such as TensorFlow, PyTorch, and Keras.
  • Collaborate on AI Projects: Work on full AI project lifecycle, from research and prototyping to deployment in production environments, utilizing cloud platforms, relational and NoSQL databases, and modern UI frameworks.
  • Drive AI Innovation: Pioneer innovative AI solutions, leveraging strong programming skills in Python and experience with AI frameworks, to solve complex business problems and drive cognitive computing advancements.
  • Optimize AI Systems: Guide the optimization of AI systems, ensuring effective usage of libraries such as SciKit Learn, Pandas, and Matplotlib, and familiarity with cloud platforms and related services.
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