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Full Time Data Scientist Ibm Jobs (NOW HIRING)

Fusemachines

Lead Data Scientist- IBM Watson

New York, NY · On-site

$100K - $150K/yr

... Data Science, Machine Learning & Generative AI. * Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments. * IBM ...

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Role Description This is a full-time Data Scientist role with Newton Research, Inc. This role requires the candidate to work at our offices in Needham, MA. The Data Scientist will be responsible for ...

IBM

Co-Op Data Scientist 2027

University Park, PA · On-site

Introduction A career in IBM Consulting is rooted in long-term relationships and close ... The compensation range and benefits for this position are based on a full-time schedule for a full ...

New

Syntelligent Analytic Solutions

$107K - $115K/hr

Accountability, Mission Driven, Community Focus and Team Oriented.  Syntelligent is seeking a full time Data Scientist for a future opening available with a government customer.*** This is a ...

Honeywell

Advanced Data Scientist

Atlanta, GA

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

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$165K

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How much do full time data scientist ibm jobs pay per year?

As of Aug 18, 2026, the average yearly pay for full time data scientist ibm 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.

What is the difference between Full Time Data Scientist Ibm vs Full Time Data Analyst Ibm?

AspectFull Time Data Scientist IbmFull Time Data Analyst Ibm
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch and development teams, complex data modeling, machine learning projectsBusiness units, reporting, data visualization, and descriptive analytics
Employer & Industry UsageIBM, technology, finance, healthcare sectorsIBM, finance, retail, and consulting sectors

Full Time Data Scientist Ibm focuses on developing predictive models and advanced analytics, requiring programming and statistical expertise. In contrast, Full Time Data Analyst Ibm emphasizes data reporting, visualization, and descriptive analysis to support business decisions. Both roles are integral to IBM's data-driven initiatives but differ in technical complexity and project scope.

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Full Time Data Scientist Ibm jobs near you
Infographic showing various Full Time Data Scientist Ibm job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Lead Data Scientist- IBM Watson

Fusemachines

Manhattan, NY • On-site

Full-time

Re-posted 11 days ago

Job description

Job Summary:
Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. The Lead Data Scientist will design and implement data-driven solutions to complex business problems while leading a team of data scientists and collaborating with cross-functional teams.
Responsibilities:
• Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work
• Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions
• Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue
• Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems
• Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner
• Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems
• Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability
Qualifications:
Required:
• Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field
• Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI
• Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments
• IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX
• Agentic AI Tools: Experience with LangGraph, Google ADK or similar
• Agentic Architectures: Experience with advanced RAG & multi-agent systems
• Programming: Strong programming skills in languages such as Python, R, C++, and SQL
• Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow
• Leadership: Experience leading data science teams and managing multiple projects simultaneously
• Soft Skills: Strong problem-solving skills, attention to detail, and excellent communication skills (both written and verbal)
Company:
Fusemachines is an enterprise AI services and solutions provider that brings AI education, products, and jobs to underserved communities. Founded in 2013, the company is headquartered in New York, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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