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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., working from our offices in Needham, MA. You will develop production-level models and algorithms, analyze data ...

IBM

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... full-time Associates program based on results and performance. Work experiences you could be ...

IBM

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... full-time Associates program based on results and performance. Work experiences you could be ...

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

As of Sep 7, 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 86% Physical, 3% 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

New York, NY • On-site

$100K - $150K/yr

Full-time

Re-posted yesterday

Key responsibilities

  • Lead a team of data scientists to develop innovative data-driven solutions to complex business problems.

  • Collaborate with cross-functional teams to develop and implement data-driven solutions.

  • Design and implement statistical models, machine learning algorithms, and agentic systems to address business challenges.

Job description

About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail,  manufacturing, and government.
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

About the Role

A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams.

Responsibilities
  • Team Leadership: 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.
  • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions.
  • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue.
  • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems.
  • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner.
  • Continuous Learning: 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.
  • Pipeline Management: 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.
 Requirements for the Role
  • 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).
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

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