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Ibm Data Science Certificate Jobs (NOW HIRING)

Azad, Inc

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

  • Medical

  • Dental

  • Vision

  • Retirement

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

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

  • Medical

  • Dental

  • Vision

  • Retirement

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

AZAD Technology Partners

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

  • Medical

  • Dental

  • Vision

  • Retirement

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

HazeGrayCyber

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

... science, engineering, mathematics, operations research or another technical field of study with expert knowledge of databases, data modeling, and SQL * PhD Desired Desired Certifications * IBM Data ...

IBM

Associate Data Scientist 2027 - AI & Data Analytics

New York, NY · On-site

$64K - $65K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... certifications, digital badges, and a minimum of 40 hours of structured learning per year on IBM ... This role is a strong fit for analytical problem solvers who want to use data science, machine ...

New

IBM

Associate Data Scientist 2027 - AI & Data Analytics

Durham, NC · On-site

$57K - $57K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... certifications, digital badges, and a minimum of 40 hours of structured learning per year on IBM ... This role is a strong fit for analytical problem solvers who want to use data science, machine ...

New

IBM

Associate Data Scientist 2027 - AI & Data Analytics

Chicago, IL · On-site

$60K - $61K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... certifications, digital badges, and a minimum of 40 hours of structured learning per year on IBM ... This role is a strong fit for analytical problem solvers who want to use data science, machine ...

New

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 ...

HazeGrayCyber

Senior Data Scientist

Washington, DC

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

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How much do ibm data science certificate jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ibm data science certificate in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $69.23 per hour, depending on experience, location, and employer.

What is an IBM Data Science Certificate?

An IBM Data Science Certificate job typically refers to roles in data science that can be pursued after earning the IBM Data Science Professional Certificate. This certification demonstrates proficiency in data science concepts, Python programming, data analysis, machine learning, and working with real-world datasets. Common job titles include Data Analyst, Data Scientist, or Machine Learning Engineer. While the certificate helps build foundational skills, job opportunities also depend on additional experience, education, and expertise.

What types of projects or tasks can I expect to work on after completing the IBM Data Science Certificate?

As a holder of the IBM Data Science Certificate, you can expect to work on a variety of projects such as analyzing datasets to identify trends, building predictive models, and creating data visualizations to communicate key findings. Typical responsibilities also include cleaning and preparing data, collaborating with cross-functional teams, and contributing to data-driven decision-making processes. Many roles offer opportunities to solve real-world problems using machine learning techniques and advanced analytics. This experience can help you build a robust portfolio and prepare for advanced roles in data science or related fields.

What are the key skills and qualifications needed to thrive in the IBM Data Science Certificate position, and why are they important?

To excel after earning an IBM Data Science Certificate, you need a strong foundation in statistics, programming (Python or R), and data analysis techniques. Familiarity with tools such as Jupyter Notebooks, IBM Watson Studio, SQL, and industry-recognized certifications like the IBM Data Science Professional Certificate are essential. Effective communication, problem-solving skills, and a collaborative mindset set candidates apart in this field. These skills and qualities are crucial for interpreting complex data, communicating insights, and developing practical solutions to real-world business challenges.

Can an IBM Data Science Certificate get you a job?

An IBM Data Science Certificate can enhance your qualifications for data science roles by demonstrating knowledge of tools like Python, R, and machine learning. While it can improve job prospects, securing a position also depends on experience, skills, and the job market conditions.

What can I do with an IBM Data Science Certificate?

An IBM Data Science Certificate prepares individuals for roles such as data analyst or data scientist by providing skills in data analysis, machine learning, and programming with tools like Python and SQL. It can help you demonstrate your knowledge to employers and may improve job prospects in data-related fields.
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Ibm Data Science Certificate jobs near you
Infographic showing various Ibm Data Science Certificate 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $108,160 per year, or $52 per hour.

Data Scientist

Apogee Engineering, LLC

Colorado Springs, CO

$155K - $190K/yr

Full-time

Re-posted 10 days ago

Job description

Apogee is seeking a Data Scientist (DS) to support the U.S. Army Space and Missile Defense Command (USASMDC). This role applies data science, statistics, and automation to mission analytics, helping operational and intelligence teams process large, complex datasets and convert them into actionable insights in support of space and missile defense priorities.

The Data Scientist partners with analysts and technical stakeholders to identify high-value analytic problems, engineer and curate datasets, and develop reproducible pipelines and models to automate workflows and enrich mission data. Responsibilities include data exploration and feature engineering; building and evaluating statistical/ML approaches (as appropriate); developing scripts, tools, and dashboards to support analysis and reporting; and communicating results through clear documentation and briefings. The DS also supports data governance and quality efforts, ensures methods are transparent and repeatable, and transitions solutions into operational use in coordination with Government leads and mission users.

 

This is a full-time opportunity at Petterson Space Force Base (PSFB), CO.

****Contingent Upon Contract Award****


  • Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment.
  • Demonstrate expert knowledge of Python, and Jupyter Notebooks and/or Jupyter Labs.
  • Author cogent and logical scripts using Python and other applicable languages in a virtual environment using common Integrated Development Environments (IDE) such as VS Code, Spyder, PyScript, or Jupyter Notebooks.
  • Develop and use advanced software programs, algorithms, query techniques, models to solve complex intelligence problems, and automated processes to normalize, integrate, and evaluate data.
  • Debug existing and future Python code; refactor legacy code to ensure continued security, functionality, and compatibility.
  • Document and block-comment all code to ensure recoverability and error-checking, and enhance reading, checking, and maintaining code in accordance with common data science and coding standards, such as PEP-8 for Python,5 or using style-guide features embedded in common IDE applications, such as Spyder, VS Code, PyScript or others upon approval by the Government.
  • Collaborate across multi-discipline teams to ensure connectivity between various data sources and business problems.
  • Identify meaningful insights, interpret, and communicate findings, plus make recommendations to stakeholders.
  • Analyze requirements and evaluate technologies for data science capabilities including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
  • Maintain awareness of emerging analytics and big-data technologies.
  • Complete required course NSA NETA1400 (Technology Fundamentals for Analysis); recommended completion of any of the following NSA Courses: NETA2402/NETA2108 (Analysis II), RPTG2238, RPTG2235, RPTG3225, RPTG3222 (Basic Analytical Reporting) or equivalent curriculum.
  • Complete recommended certifications: Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics Professional Certificate; IBM Data Science Professional Certification.

Minimum Experience:

Citizenship: Must be a US citizen 
Clearance: Must have and be able to maintain a Top Secret (TS) with Sensitive Compartmented Information (SCI) adjudication
Education: Bachelors Degree
Years of Experience: 7+ years experience in data science/analytics engineering/software development in big-data environments.

Additional Experience:

  • Expert Python skills; heavy use of Jupyter Notebooks/Labs and common IDEs (e.g., VS Code/Spyder).
  • Proven ability to build and sustain automated data workflows (ingest/normalize/integrate/enrich/evaluate) using algorithms, queries, and models.
  • Strong SDLC skills: debugging, refactoring legacy code, and maintaining secure/compatible codebases.
  • Code quality discipline: clear documentation/block comments and adherence to PEP-8 (or equivalent style enforcement).
  • Working knowledge of data architecture and ability to collaborate across multi-discipline teams to connect data sources to mission problems.
  • Ability to communicate findings and recommendations to stakeholders.
  • Experience applying/evaluating ML/NLP, predictive modeling, and statistical methods (hypothesis testing).
  • NSA NETA1400 (Technology Fundamentals for Analysis) completion, or Government-approved equivalent.

Preferred Qualifications:
Additional Experience:

  • NSA courses: NETA2402/NETA2108 and/or RPTG2238/2235/3225/3222 (or equivalent).
  • Certifications: DASCA (ABDE/ABDA/SDS), Google Data Analytics, and/or IBM Data Science.
  • Experience transitioning prototypes into reusable, analyst-ready tools/pipelines and tracking emerging big-data/analytics tech.

Additional Information
Location: Petterson Space Force Base (PSFB), CO
On-site
Travel: 10%


USD $155,000.00 - USD $190,000.00 /Yr.

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