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Overnight Ibm Data Science Certificate Jobs (NOW HIRING)

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 ...

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 ...

Senior Data Analyst

Washington, DC

$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 Data Science Professional Certification. Security Clearance: * Security clearance required TS/SCI w/ CI Polygraph Location: * Colorado Springs, CO. Prescient Edge is a Veteran-Owned Small ...

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 ...

Stay up-to-date with the latest developments in data science, machine learning, and artificial ... IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX * Agentic AI Tools: Experience with ...

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Overnight Ibm Data Science Certificate information

Is the IBM data science certificate worth it?

The IBM Data Science Certificate is a recognized credential that covers foundational skills in data analysis, machine learning, and tools like Python and Jupyter notebooks. It can enhance a data scientist's resume and improve job prospects, especially for entry-level roles, but practical experience and additional skills are also important for career advancement.

What is the difference between Overnight IBM Data Science Certificate vs Data Analyst?

AspectOvernight IBM Data Science CertificateData Analyst
CredentialsCertificate from IBM, online courseworkTypically a degree in data analysis, statistics, or related field
Work EnvironmentOnline, self-paced learning, project-basedOffice or remote, data collection and analysis tasks
Industry UsageTraining for entry-level data science roles across industriesAnalyzing data to support business decisions in various sectors

The Overnight IBM Data Science Certificate provides focused training in data science concepts and tools, ideal for those seeking to enter data science roles. Data Analysts, on the other hand, focus more on interpreting data and generating reports. While both roles involve working with data, the certificate emphasizes data science skills, whereas data analysis centers on data interpretation and visualization.

Can an IBM certificate get you a job?

An IBM Data Science Certificate can enhance your qualifications for data science roles by demonstrating foundational knowledge in data analysis, machine learning, and tools like Python and SQL. While it can improve your chances, securing a job also depends on experience, skills, and the job market, as certificates alone do not guarantee employment.

What jobs can I get with a certificate in data science?

A certificate in data science can qualify you for roles such as data analyst, data scientist, business intelligence analyst, or machine learning engineer. These positions typically require skills in programming languages like Python or R, data visualization, statistical analysis, and experience with tools like SQL and Tableau.
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Infographic showing various Overnight Ibm Data Science Certificate job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

$155K - $190K/yr

Full-time

Posted 23 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.