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Internship Ibm Data Science Certificate Jobs (NOW HIRING)

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

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

Associate Data Engineer 2027 - AI & Analytics

Lansing, MI · On-site

$59K - $60K/yr

... to certification opportunities. At IBM, AI is part of how we deliver solutions, accelerate ... Work side-by-side with experienced consultants, data engineers, data scientists, AI specialists ...

$54 - $66/hr

... to certification opportunities. At IBM, AI is part of how we deliver solutions, accelerate ... Currently completing or recently completed a bachelor's degree in Computer Science, Data Science ...

Introduction A career in IBM Consulting is rooted in long-term relationships and close ... Receive mentorship from diverse professionals in science engineering and consulting applying ...

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

As of Sep 6, 2026, the average hourly pay for internship ibm data science certificate in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Ibm Data Science Certificate vs Data Analyst?

AspectInternship Ibm Data Science CertificateData Analyst
Required CredentialsCertificate in IBM Data Science, basic programming skillsBachelor's degree in data-related field, sometimes certifications
Work EnvironmentInternship setting, training-focused, entry-levelFull-time or part-time roles in various industries
Industry UsageTraining program for aspiring data scientistsAnalyzing data, creating reports, supporting decision-making

The Internship IBM Data Science Certificate provides foundational training and certification for beginners interested in data science, often serving as a stepping stone. Data Analysts typically hold a degree and perform data analysis tasks in professional settings. While both roles involve working with data, the certificate program emphasizes learning and skill development, whereas data analyst roles focus on applying those skills in real-world projects.

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Senior Data Scientist

HazeGrayCyber

Washington, DC

Full-time

Re-posted 17 days ago


Job description

Senior Data Analyst
Req ID 002-25 v1.0
HazeGrayCyber, LLC is focused on delivering Cyber Security and Zero Trust Solutions to the US National Defense community and our allies and partners.  
This position will provide Information and Task Management Support to MCICOM, G-9, and the Marine Corps.
Location: Performance will take place at both the Government’s facility and the contractor’s facility. Travel will be required to conduct on-site IA tasks at Marine Corps Regions/Installations
Responsibilities: Uses analytical tools and techniques to extract meaningful insights from data. Identifies relevant data sources, performs data cleansing/analysis, develops data models, uses data visualization software to present findings. Specifically-working in partnership with a Senior Operations Research Analyst and Senior Data Analyst.
  • Collect and normalize data, analyze, and present results of enterprise to individual real property assets or MCICOM Marine Corps programs within the installations portfolios and functions, and provide programmatic, cost, budget, schedule, and technical requirements utilizing descriptive methods, tools, and supporting visualizations.
  • Use analytic tools to combine, analyze, and interpret very large and complex datasets to perform exploratory analyses and develop data-informed organizational solutions.
  • Design, develop, enhance, and support new and existing dashboards and visualizations using the following tools, but not limited to PowerPoint, Tableau, Python, or R to support planning, programming, budget, and execution decisions.
  • Conduct predictive analysis and refine/update models to forecast future infrastructure and installation services requirements and resources to support the Marine Corps Future Force, tenant requirements, and families. 
  • Use of operations research techniques and methods, machine learning models, and other predictive analytics tools to identify trends, patterns, and potential future outcomes.
  • Refine the predictive infrastructure model that focuses on lifecycle management including incorporating known funding levels, known facility investment plans (supportive of military construction (both new mission/footprint and recapitalization), restoration and modernization, sustainment, and demolition requirements) and incorporating the Marine Corps’ Facility Investment Strategy (FIS). 
  • Provide recommendations of optimal investment strategies to support the infrastructure and installation services portfolios.  This analysis will include optimization models implementing known or projected investment goals, scenario planning, and the integration of various budgets, real property, and input data (to include but not limited to inflation, metrics, and factors) to support actionable investment recommendations over the Future Years Defense Program (FYDP).
  • Deploy descriptive, predictive and prescriptive infrastructure model into government environment and develop training materials and train government personnel at the Regions/ Installations for use.  The following steps outline a Full Enterprise, Readiness Model that meets Full Operational Capability (FOC) to include using advanced analytic software or leverage a Large Language Model (LLM).
  • Build prescriptive infrastructure model in the Government (OSD Advana) Cloud Environment
Required Education and Experience
  • 10+ years of experience and BA/BS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study or
  • 5+ years of experience and MA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study
Desired Education and Experience
  • 20+ years of specialized experience and a BA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study
  • PhD Desired
Desired Certifications
  • Certified Analytics Professional
  • SAS Certified Data Scientist/SAS Certified Professional: AI and Machine Learning/SAS Certified Analytics Professional
  • IBM Data Science Professional Certificate
  • Or other comparable certification programs through Universities or the commercial sector
Security
  • US Citizenship Required
  • Ability to obtain and maintain a Government Secret Security Clearance
Overseas Performance Requirements
  • Overseas performance and/or travel may be required in Japan, Korea, and/or Guam. NOTE: SPOT requirements will require the use of SPOT for approving SOFA status.
HazeGrayCyber, LLC is an Equal Opportunity Employer with a strong commitment to supporting and retaining a diverse and talented workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
HazeGrayCyber, LLC offers competitive compensation and benefits as well as great long-term career opportunities.
For more information or to apply, visit our website at www.hazegraycyber.com/career