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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 ...

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 ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

New

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 ... data science libraries in python (scikit-learn, SciPy, pandas, PyTorch) is a plus. ABOUT BUSINESS ...

New

IBM

Federal Associate Data Scientist 2027

Herndon, VA · On-site

$60K - $61K/yr

IBM's culture of internal mobility means you'll have the freedom to explore new technologies ... Your role and responsibilities As a Federal Associate Data Scientist 2027 at IBM, you will work to ...

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$165K

$243.5K

How much do data scientist ibm jobs pay per year?

As of Aug 17, 2026, the average yearly pay for 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 does a data scientist at IBM do?

A Data Scientist at IBM analyzes large sets of structured and unstructured data to uncover patterns, develop predictive models, and provide actionable insights to solve business problems. They use advanced analytics, machine learning, and artificial intelligence techniques to interpret data and help drive innovation. Data Scientists at IBM often collaborate with other teams, such as engineering and product development, to create data-driven solutions tailored for IBM’s clients across various industries.

What are the key skills and qualifications needed to thrive as a data scientist at IBM, and why are they important?

To thrive as a Data Scientist at IBM, you need strong analytical skills, proficiency in statistics, and a solid foundation in machine learning, typically supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages like Python or R, experience with big data tools (such as Spark or Hadoop), and knowledge of IBM’s AI platforms like Watson are often required. Critical thinking, effective communication, and collaborative problem-solving are essential soft skills that help drive impactful solutions. These skills enable data scientists to extract actionable insights from complex data, communicate findings to stakeholders, and contribute to innovation within IBM’s technology-driven environment.

How does a data scientist at IBM typically collaborate with cross-functional teams during a project?

At IBM, Data Scientists work closely with cross-functional teams that often include software engineers, business analysts, and domain experts. Collaboration is essential throughout the project lifecycle, from initial problem scoping and data acquisition to model development and deployment. Data Scientists frequently participate in agile meetings, share insights during brainstorming sessions, and present findings to both technical and non-technical stakeholders. This collaborative environment not only enhances project outcomes but also provides valuable opportunities to learn from colleagues in diverse fields.

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

AspectData Scientist IbmData Analyst Ibm
Required CredentialsBachelor's/Master's in CS, Statistics, or related; often certifications in data scienceBachelor's in related fields; certifications in data analysis tools
Work EnvironmentResearch and development, modeling, advanced analyticsData reporting, visualization, business insights
Employer & Industry UsageTech companies, finance, healthcare, IBM projectsBusiness units, marketing, operations within IBM

Data Scientist Ibm focuses on developing predictive models and advanced analytics, requiring strong technical skills and often advanced degrees. Data Analyst Ibm primarily handles data reporting and visualization to support business decisions. Both roles are integral within IBM but differ in complexity and scope.

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Data Scientist Ibm jobs near you
Infographic showing various 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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