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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 ...

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 ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

... IBM Data Science Professional Certificate Mathematics experience including multivariate calculus, linear algebra, differential equations, and real analysis: Probability and Statistics: including ...

Implify Inc

Data Scientist

Newark, NJ

Data Scientist Location: Newark NJ Interview process: Phone and In Person (face to face) Job ... SQL Programming and experience of at least one DBMS such as IBM DB2, Oracle, SQL Server or Sybase ...

Integral

Data Scientist AI/ML

Annapolis Junction, MD · Hybrid

$200K - $230K/yr

IBM Integrated Analytics System, IBM Sailfish (formerly Netezza; hardware-accelerated database appliance), AWS Redshift, or similar products * Data science toolkits * Notebook environment * Apache ...

Forward Networks

Data Scientist

Santa Clara, CA · On-site

$170K - $190K/yr

Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as ... Forward Networks seeks a pragmatic, end-to-end Data Scientist who can operate across the full data ...

Forward Networks

Data Scientist

Santa Clara, CA · On-site +1

$170K - $190K/yr

Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as ... Forward Networks seeks a pragmatic, end-to-end Data Scientist who can operate across the full data ...

Forward Networks

Data Scientist

Santa Clara, CA · On-site +1

$170K - $190K/yr

Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as ... Forward Networks seeks a pragmatic, end-to-end Data Scientist who can operate across the full data ...

Clarity Innovations

Senior Data Scientist

Liberty, NC · On-site

... IBM Cloud Pak, Cloudera, and Snowflake. • Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling. Requirements * A minimum of 1 year of hands-on Data ...

HazeGrayCyber

Senior Data Scientist

Washington, DC · On-site

IBM Data Science Professional Certificate * Or other comparable certification programs through Universities or the commercial sector Security * US Citizenship Required * Ability to obtain and ...

GDIT

Data Scientist Senior

Fort Liberty, NC · Hybrid

$106K - $143K/yr

Data Science and Data Engineering Job Qualifications: Skills: Agile Software Development, Data ... Perform data engineering and modeling on cloud platforms such as Databricks, Snowflake, IBM Cloud ...

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$165K

$243.5K

How much do data scientist ibm jobs pay per year?

As of Jun 28, 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.

Is a Data Scientist in high demand?

Data Scientists are in high demand across industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly sought after, and employment opportunities are expected to grow rapidly in the coming years.

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 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 much does a Data Scientist at IBM make?

A Data Scientist at IBM typically earns between $90,000 and $130,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced data scientists with advanced skills in machine learning and data analysis can earn higher salaries, often supplemented with bonuses and benefits.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as skills in programming, statistics, and machine learning are more important than age. Many professionals successfully transition into data science later in their careers by gaining relevant certifications and experience with tools like Python, R, and SQL.

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.

Is 30 too late for data science?

Data scientists can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science after other careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than your ability to develop expertise and adapt to evolving technologies in the field.

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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What cities are hiring for Data Scientist Ibm jobs? Cities with the most Data Scientist Ibm job openings:
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Data Scientist Ibm jobs near you
Infographic showing various Data Scientist Ibm job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Lead Data Scientist- IBM Watson

Lead Data Scientist- IBM Watson

Fusemachines

Manhattan, NY • On-site

Full-time

Posted 20 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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