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Temporary Data Scientist Ibm Jobs (NOW HIRING)

... 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 ...

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

Temporary Data Reviewer

Aurora, CO · On-site

$25 - $35/hr

Data Reviewer, Temporary Position #: 00782556 Requisition#: 40591 This is a Temporary position ... Bachelor's degree in a scientific discipline or related field, or an equivalent combination of ...

Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.

Temporary Data Reviewer

Aurora, CO · On-site

$25 - $35/hr

Data Reviewer, Temporary Position #: 00782556 Requisition#: 40591 This is a Temporary position ... Minimum Qualifications: • Bachelor's degree in a scientific discipline or related field, or an ...

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

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

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 ...

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 ...

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How much do temporary data scientist ibm jobs pay per year?

As of Jul 28, 2026, the average yearly pay for temporary 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 cities are hiring for Temporary Data Scientist Ibm jobs? Cities with the most Temporary 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:
What states have the most Temporary Data Scientist Ibm jobs? States with the most job openings for Temporary Data Scientist Ibm jobs include:
Infographic showing various Temporary 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.