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Cognitive Analytics Jobs (NOW HIRING)

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... Translate cognitive insights into performance-improvement strategies and delivering cognitive ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... Translate cognitive insights into performance-improvement strategies and delivering cognitive ...

Proficient in one or more statistical modeling tools and cognitive analytics like text analytics, image recognition, video analytics, etc. Proficient in model identification by use case/industry and ...

Job Summary The Health Research and Analytics (HRA) business line is seeking a highly motivated, full-time Cognitive Performance Specialist to join our team in support of our government customer, U.S.

Cognitive Behavioral Therapist

Topeka, KS ยท On-site

$18 - $23/hr

Cognitive Therapist works with individuals that have experienced a traumatic brain injury to ... Must have advanced analytical skills * High degree of sensitivity toward all people * Ability to ...

Analyze training needs and provide evidence-based cognitive assessments and interventions, referring clients to other HP team members, mental health, or flight medicine when needs exceed scope of ...

Analyze training needs and provide evidence-based cognitive assessments and interventions, referring clients to other HP team members, mental health, or flight medicine when needs exceed scope of ...

Analyze training needs and provide evidence-based cognitive assessments and interventions, referring clients to other HP team members, mental health, or flight medicine when needs exceed scope of ...

Analyze training needs and provide evidence-based cognitive assessments and interventions, referring clients to other HP team members, mental health, or flight medicine when needs exceed scope of ...

Job Type Full-time Description Nexus Cognitive is revolutionizing the way businesses harness data ... We handle the heavy lifting of data integration, security, and analytics so our clients can ...

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Cognitive Analytics information

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$10

$52

$79

How much do cognitive analytics jobs pay per hour?

As of May 30, 2026, the average hourly pay for cognitive analytics in the United States is $52.26, according to ZipRecruiter salary data. Most workers in this role earn between $37.98 and $65.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Cognitive Analytics, and why are they important?

To thrive in Cognitive Analytics, you need a solid background in data analysis, machine learning, and statistics, often supported by a degree in computer science, data science, or a related field. Familiarity with programming languages such as Python or R, as well as experience with analytics platforms like TensorFlow or IBM Watson, is typically required. Strong problem-solving abilities, critical thinking, and effective communication are crucial soft skills for interpreting results and conveying insights to stakeholders. These competencies enable professionals to extract actionable intelligence from complex data, driving informed business decisions and innovation.

How does a Cognitive Analytics professional typically collaborate with cross-functional teams to implement data-driven solutions?

Cognitive Analytics professionals frequently work alongside data scientists, software engineers, business analysts, and domain experts to develop and deploy intelligent data solutions. Their role often involves translating complex analytical findings into actionable insights for non-technical stakeholders and ensuring that machine learning models align with business objectives. Effective communication and teamwork are essential, as projects may require integrating analytics into existing systems, refining data pipelines, and iterating on solutions based on feedback from end-users and leadership.

What is cognitive analytics?

Cognitive analytics is the use of advanced technologies, such as artificial intelligence (AI), machine learning, and natural language processing (NLP), to analyze large volumes of complex data. It enables systems to mimic human thought processes, interpret unstructured data, and provide insights that support decision-making. Cognitive analytics goes beyond traditional analytics by learning from data patterns, adapting to new information, and delivering more accurate and context-aware results for businesses.

What is the difference between Cognitive Analytics vs Data Analyst?

AspectCognitive AnalyticsData Analyst
Required CredentialsTypically requires degrees in data science, AI, or related fields; certifications in analytics toolsUsually requires degrees in statistics, mathematics, or related fields; certifications in Excel, SQL, or data visualization
Work EnvironmentOften involves working with AI systems, machine learning models, and complex algorithmsPrimarily focuses on data collection, cleaning, and basic analysis using spreadsheets and BI tools
Industry UsageUsed in AI-driven decision-making, automation, and advanced analytics projectsCommon in reporting, business insights, and operational analysis

While both roles analyze data, Cognitive Analytics focuses on leveraging AI and machine learning to interpret complex data patterns, whereas Data Analysts primarily perform traditional data processing and reporting tasks. Understanding these differences helps organizations choose the right skill set for their analytics needs.

More about Cognitive Analytics jobs
Infographic showing various Cognitive Analytics job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $108,693 per year, or $52.3 per hour.
Cognitive Analytics Engineer

Cognitive Analytics Engineer

Corteva Agriscience

Des Moines, IA โ€ข On-site

Full-time

Medical, Retirement, PTO

Posted 16 days ago


Job description

At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.
***Please note: there is no visa sponsorship provided for this role.
We're looking for a Cognitive Analytics Engineer to join our Artificial Intelligence in Breeding group. You'll work at the intersection of agentic AI systems, simulation, and reinforcement learning - building and deploying the intelligent systems that enable breeding teams to optimize complex, multi-stage decisions through digital twin environments and AI-driven orchestration.
This role is central to our cognitive analytics strategy: you'll help build and deploy the agentic systems and digital twin environments that enable teams to seamlessly integrate simulation, reinforcement learning, and AI-powered decision tools into breeding pipelines and workflows. You'll partner with scientists and engineering stakeholders to deploy these systems to our breeding teams across crops and geographies.
Who You Are:
You're a systems-minded AI engineer who thinks natively in terms of agents, environments, and optimization. You're comfortable building the infrastructure that makes agentic workflows reliable and scalable, and you have the theoretical grounding to reason about reinforcement learning formulations, simulation fidelity, and reward design. You thrive in collaborative, cross-disciplinary teams and can translate between ML research and production engineering.
What You'll Do:
  • Build and maintain agentic AI systems that orchestrate analytics, simulation, and decision workflows for breeding pipelines, guiding solutions from prototype through production deployment
  • Implement and optimize digital twin components for use with agentic inference systems and reinforcement learning training pipelines
  • Develop and train reinforcement learning agents that optimize breeding pipeline strategy
  • Collaborate with scientists and domain experts to address breeding challenges with agentic-driven solutions leveraging simulation and deterministic optimization
  • Architect for scale and deployment - distributed training, efficient orchestration, and production-grade reliability of AI systems

What Skills You Need:
  • Master's degree in computer science, machine learning, or a related field (or equivalent practical experience), with 3-5 years of relevant experience
  • Strong Python skills with computational and scientific libraries
  • Experience with deep learning frameworks (e.g. PyTorch, JAX)
  • Experience with reinforcement learning frameworks and theory
  • Experience with simulation environments or digital twin systems
  • Experience with deployment of orchestrated agents and associated components (e.g. MCP, ACP)
  • Experience with distributed training and efficient AI orchestration
  • Strong communication skills - able to bridge AI/ML concepts with domain scientists and cross-functional teams
  • Experience with Linux and Docker

What Makes You Stand Out:
  • Experience with LLM-based agent architectures, tool-use orchestration, or multi-agent systems
  • Experience designing or building custom reinforcement learning environments for real-world decision problems
  • AWS/Kubernetes experience
  • Experience with compiled languages (e.g. C++, Rust) for performance optimization
  • Background in plant breeding, genetics, agriculture, or related domains - candidates with reinforcement learning and simulation backgrounds in other complex decision domains (robotics, operations research, autonomous systems) are encouraged to apply

Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.