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Data Scientist Ibm Jobs (NOW HIRING)

Senior Data Scientist

New York, NY · On-site

$181K - $211K/yr

Your role and responsibilities Senior Data Scientist, IBM Corporation, New York, NY (Up to 40% telecommuting permitted): * Design, build, and deploy AI and machine learning models that drive ...

New

Senior Data Scientist

Manhattan, NY · On-site

$182 - $212/hr

Senior Data Scientist, IBM Corporation, New York, NY (Up to 40% telecommuting permitted): * Design, build, and deploy AI and machine learning models that drive enterprise decision making and business ...

New

... 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 ...

NY · On-site

$144 - $248/hr

IBM Quantum is building the world's leading quantum computing systems, software, and cloud services. The Advisory Data Scientist in this role will generate and deliver high-impact insights that ...

$89 - $133/hr

Welcome to IBM's Associate Program for university hires. From day one, you will collaborate with ... Your role and responsibilities As an Associate Data Scientist, you will help solve business ...

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Data Science and AI Development: Develop skills in writing efficient, reusable code to prepare data ...

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Data Scientist Ibm information

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$46K

$165K

$243.5K

How much do data scientist ibm jobs pay per year?

As of Sep 7, 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.

More about Data Scientist Ibm jobs

What cities are hiring for Data Scientist Ibm jobs?

Cities with the most 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 Data Scientist Ibm jobs?

States with the most job openings for Data Scientist Ibm jobs include:

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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Scientist

IBM

New York, NY • On-site

$181K - $211K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

125th of 247 rated software companies


Job description

Your role and responsibilities
Senior Data Scientist, IBM Corporation, New York, NY (Up to 40% telecommuting permitted):
  • Design, build, and deploy AI and machine learning models that drive enterprise decision making and business value.
  • Source, clean, and process complex datasets to support model development and implementation.
  • Develop and architect scalable data/model pipelines ensuring seamless integration with existing systems.
  • Apply statistical analysis, data visualization techniques, and Python programming to extract actionable insights.
  • Manage stakeholder relationships, including sourcing business requirements, their translation into data science tasks, as well as to report solution design and performance.
  • Manage multiple concurrent projects while making informed trade-offs between business needs and time-to-value.
  • Drive rigorous release management processes and uphold data science standards within the organization as well as maintain domain awareness, share expertise, and innovate, including IP responsibility.
  • Utilize IBM watsonx suite and related tools to implement AI solutions across the enterprise.
  • Utilize: Python (Pandas, NumPy, Scikit-learn), IBM watsonx Suite, SQL, Data Pipeline Tools, Machine Learning Algorithms, Statistical Modeling, Data Visualization Tools (Matplotlib, Seaborn, Cognos), Git and Version Control Systems, Cloud Computing Platforms (IBM Cloud, AWS, Azure).

Required: Master's degree or equivalent in Computer Science, Data Science, Statistics, Mathematics, Engineering or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Scientist, Data Analyst, Machine Learning Engineer or related. One (1) year of experience must include utilizing Python (Pandas, NumPy, Scikit-learn), IBM watsonx Suite, SQL, Data Pipeline Tools, Machine Learning Algorithms, Statistical Modeling, Data Visualization Tools (Matplotlib, Seaborn, Cognos), Git and Version Control Systems, Cloud Computing Platforms (IBM Cloud, AWS, Azure). $181800 to $211800 per year. SN181. Full time.
Required education
Master's Degree
Required technical and professional expertise
Master's degree or equivalent in Computer Science, Data Science, Statistics, Mathematics, Engineering or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Scientist, Data Analyst, Machine Learning Engineer or related. One (1) year of experience must include utilizing Python (Pandas, NumPy, Scikit-learn), IBM watsonx Suite, SQL, Data Pipeline Tools, Machine Learning Algorithms, Statistical Modeling, Data Visualization Tools (Matplotlib, Seaborn, Cognos), Git and Version Control Systems, Cloud Computing Platforms (IBM Cloud, AWS, Azure).
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:
  • Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
  • Financial programs such as 401(k), the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
  • Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
  • Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
  • Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences

We consider qualified applicants with criminal histories, consistent with applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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