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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 ...

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 ...

LP Building Solutions

Data Scientist

Nashville, TN · On-site

Hybrid Job Purpose LP Building Solutions, a large specialty building products manufacturer, is looking for a full-time data scientist to join the data analytics team. Leveraging advanced analytical ...

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 ...

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

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 ...

Garmin International, Inc.

Data Scientist 2

Olathe, KS · On-site

Overview We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for analyzing complex data sets, developing ...

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 ...

WebstaurantStore

Data Scientist - Marketing

Lititz, PA · On-site +1

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

WebstaurantStore

Sr Data Scientist

Lititz, PA · On-site +1

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

WebstaurantStore

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

WebstaurantStore

Data Scientist - Pricing

Lititz, PA · On-site +1

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

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 ...

Prescient Edge

Senior Data Scientist

Colorado Springs, CO · On-site

$135K - $210K/yr

... Full-Time Career Level Staff Education Associate Degree Travel Security Clearance Required TS/SCI ... IBM Data Science Professional Certification. Security Clearance: * Security clearance required TS ...

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Full Time Data Scientist Ibm information

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$165K

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

As of Jul 29, 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.

Can data scientists make $300k?

Full-time data scientists can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and working in high-paying industries or senior roles. Compensation varies based on location, company size, and individual expertise.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data scientists are needed to interpret complex results, develop models, and provide strategic insights that require domain expertise and critical thinking. Their skills in programming, statistical analysis, and understanding business context remain essential in leveraging AI effectively.

How much does a Data Scientist at IBM make?

A Data Scientist at IBM typically earns an average salary ranging from $90,000 to $130,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in machine learning and data analysis may earn higher compensation. IBM also offers benefits such as professional development and flexible work schedules.
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What cities are hiring for Full Time Data Scientist Ibm jobs? Cities with the most Full Time Data Scientist Ibm job openings:
What are the most commonly searched types of Data Scientist Ibm jobs? The most popular types of Data Scientist Ibm jobs are:
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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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% 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 21 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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