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Data Scientist Ibm Jobs (NOW HIRING)

Data Scientist

Vancouver, WA · On-site

$90 - $96/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 ...

Data Scientist

Omaha, NE · On-site

$104.65 - $189.18/hr

Stay current on emerging data science techniques and tools relevant to OIE. * Provide ... Experience with data manipulation and analysis tools (SPSS, STATA, IBM Watson) * Proficiency with ...

IBM Server Systems client impacting field event analysis (repairs, outages). * System Telemetry ... Experience with Python data science and machine learning libraries such as scikit-learn, pandas ...

Your role and responsibilities As a Marketing Data Scientist & Data Analytics Intern, you'll work collaboratively, as part of a team, on a project that addresses a strategic IBM Marketing business ...

New

... IBM, and more. Headquartered in Brisbane with a crew of over 600 people spread across Asia-Pacific ... This Data Scientist will partner closely with Revenue Operations, Data Engineering, Finance ...

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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.

$90 - $96/hr

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If you have any technical questions or have problems logging in, please contact azad

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission Infrastructure Asset Management organization on the Strategy and Planning team. This assignment will provide support for projects under the program by providing analytical expertise for planning, development, integration, and implementation of asset management technologies, methods, and standards for interim and long-term solutions to manage risk and spend efficiency on the facility's transmission system. This assignment will analyze, process and model data and interpret the results to develop data-driven solutions.

This is a 2 year plus consultant position with high probability of long term and ongoing continued employment. This position is hybrid based in Vancouver, WA with onsite 3 days per week (Tuesday, Wednesday and Thursday). The hourly pay rate for this position is between $65.00 and $70.00 depending on related qualifications and experience, as well as composition of selected compensation package.

The ideal candidate must possess the minimum qualifications:

Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or statistical methods is required:

With a Master's degree, 7 years' of hands-on experience performing the following is required

With a Bachelor's degree, 9 years' of experience is required:

Manipulating data sets, querying databases, and building statistical models

Statistical or data mining techniques

Using Web Services

Analyzing data from 3rd party users

Developing data models and algorithms

Creating and using advanced machine learning algorithms and statistics

Knowledge and understanding of financial analysis/budgeting, risk analysis, probability and statistics, and electric utility operations

With a Bachelor's degree, at least 10 graduate credits in computer science algorithms, statistics, software design, or data management OR one of the following Data Science Certifications or similar are also required:

Certified Analytics Professional (CAP)

Data Science Council of America (DASCA) Senior Data Scientist (SDS)

Data Science Council of America (DASCA) Principle Data Scientist (PDS)

Dell EMC Data Science Track

Google Certified Professional Data Engineer

Google Advanced Data Analytics Certificate for Machine Learning

IBM Data Science Professional Certificate

Mathematics experience including multivariate calculus, linear algebra, differential equations, and real analysis:

Probability and Statistics: including stochastic processes, classical inference techniques, maximum likelihood estimation, Bayesian methods, Monte Carlo, and bootstrapping.

Computer Science: design and analysis of algorithms and data structures, computational complexity, search methods.

Supervised Learning (e.g., regression techniques, regularization techniques, ridge regression, ensemble methods, optimization through linear programming and convex optimization, nonlinear programming).

Unsupervised Learning (e.g., clustering techniques, hierarchical clustering, dimensionality reduction, principal component analysis).

Time Series Analysis.

Demonstrated knowledge of computer languages including, but not limited to Python, Java, SQL, and R. Demonstrated knowledge of distributed or parallel processing techniques used in the analysis and processing of large data sets.

Skill in discerning the strengths and weaknesses of various best-practice quantitative solutions for a given real‑world problem and skill in developing new quantitative approaches to cater to particular features as needed when standard assumptions are inappropriate.

Using considerable judgment, proven ability to take vague or broadly defined goals or business objectives and translate them to questions that can be answered or problems that can be addressed via data driven analysis.

Demonstrated ability to communicate and present proposals, findings, and recommendations, both written and orally, to senior staff, management and executives and to external parties (e.g., representing BPA regionally such to key stakeholders, customers, industry organizations, or regulators).

Valid U.S. Driver's License or RealID is required.

Preferred Skills:

Knowledge of GIS and Asset Management Systems.

Experience with R software product(s).

Energy/utility industry experience.

Experience with Power BI (Microsoft Business Intelligence).

AZAD is looking for bright, talented, flexible, and customer centric problem solvers who enjoy the challenges associated with solving the most complex problems by utilizing the most sophisticated technologies and strong people skills.

Founded and managed by technologists and engineers, AZAD is a leading provider of Consulting Services to Fortune 500 and innovative firms since 1992.

AZAD's model provides a unique employment experience that is career path focused, relationship based and dedicated to advocacy and retention with an average tenure of 9 years.

Our collaborative approach to support our clients, projects and supporting our employees' career paths are the keys to our success. Join AZAD's professional team and enhance your career by being engaged with some of the most interesting projects in the Pacific Northwest.

EXCELLENT EMPLOYEE BENEFITS including Co-paid Medical, Dental and Vision Insurance, Cafeteria Plan, Paid Sick Leave, 401K Plan, Credit Union Membership, and Referral Bonus.

U.S. Citizens only for Federal Clearance Requirement.

AZAD values diversity - in backgrounds and in experiences.

AZAD is committed to Diversity, Equity & Inclusion and is striving to build an even more diverse, inclusive team that reflects the people and communities where we live and work.

AZAD, Inc. is an equal opportunity employer that considers and employs qualified individuals based upon job related qualifications regardless of race, color, sex, religion, creed, physical or mental disability, veteran's status, sexual orientation, national origin, age or any other status protected under applicable local, state or federal law. AZAD takes affirmative action to employ and advance in employment qualified employees and applicants who are disabled, disabled veterans, recently separated veterans, Armed Forces services medal veterans, and other protected veterans.

AZAD, Inc. is a Certified Minority Owned Business and OFCCP compliant.

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