ZipRecruiter

Log In

1

Ibm Data Science Professional Certificate Jobs (NOW HIRING)

AZAD Technology Partners

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 ...

HazeGrayCyber

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

... Data Scientist: * Collect and normalize data, analyze, and present results of enterprise to ... IBM Data Engineering Professional Certificate * Google Cloud Certification: Cloud Data Engineer ...

SimIS Inc.

Senior Data Scientist (N)

Norfolk, VA · On-site

A Data Science Professional Certificate is highly desirable. Responsibilities * Support cloud-based big data design and development requirements for software prototypes, systems, and applications.

Nwis

Data Engineer

Sterling, VA

$122K - $253K/yr

IBM Data Engineering Professional Certificate * IBM Data Warehouse Engineer Professional Certificate * Meta Database Engineer Professional Certificate Salary & Benefits The salary associated with ...

SimIS Inc.

Senior Data Scientist (N)

Norfolk, VA · On-site

A Data Science Professional Certificate is highly desirable. Responsibilities * Support cloud-based big data design and development requirements for software prototypes, systems, and applications.

Tulk LLC

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

Why This Role Matters This is a strong fit for a cleared Data Science professional who enjoys ... Maintain required instructor certification and course qualification status. Required Skills and ...

Tata Consultancy Service Limited

Data Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Works closely with the data science and business intelligence teams to develop data models and ... Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time ...

Tata Consultancy Service Limited

Data Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Works closely with the data science and business intelligence teams to develop data models and ... Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time ...

Jobs for Humanity

Data Science Managers

Piscataway, NJ · On-site

Certifications/Licenses: Required Knowledge, Skills, and Abilities: Expert in computational and/or ... and data science professionals, by promoting and exemplifying a culture of diversity, equity ...

Tulk LLC

Data Science SME Lead

Fort Belvoir, VA · On-site

$120K - $189K/yr

... Data Science professional who can guide a team, teach advanced mission concepts, and help shape ... Maintain required instructor certification and course qualification status. Required Skills and ...

next page

Showing results 1-20

All JobsIbm Data Science Professional Certificate Jobs

Ibm Data Science Professional Certificate information

How can earning the IBM Data Science Professional Certificate help me stand out when applying for data science roles?

Completing the IBM Data Science Professional Certificate demonstrates to employers that you have foundational knowledge in key data science areas, such as Python programming, data analysis, machine learning, and data visualization. The hands-on projects included in the program allow you to build a portfolio of work that showcases your practical skills to hiring managers. Additionally, earning a well-recognized industry credential like this can help you network with other professionals and potentially access entry-level data science roles or internships, even if you are transitioning from a different field.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages such as Python or R, often supported by a relevant degree or certifications like the IBM Data Science Professional Certificate. Familiarity with data visualization tools, machine learning frameworks, and database systems is typically required. Strong problem-solving abilities, communication skills, and curiosity help individuals stand out in this role. These competencies are essential for extracting insights from complex data, effectively presenting findings, and driving data-informed decision-making within organizations.

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

A Data Science Professional Certificate 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 Jupyter notebooks.

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

AspectIbm Data Science Professional CertificateData Analyst
CredentialsCertificate in data science fundamentals, programming, and analyticsTypically requires a degree in statistics, mathematics, or related field; certifications are optional
Work EnvironmentOften in tech companies, consulting firms, or data-driven industriesIn various industries including finance, healthcare, marketing, often in office settings
Skills FocusData analysis, machine learning, programming (Python, R), data visualizationData cleaning, reporting, data visualization, basic statistical analysis

The Ibm Data Science Professional Certificate provides foundational skills in data science, including programming and machine learning, suitable for entry-level roles. Data Analysts focus more on interpreting data, creating reports, and visualizations. While both roles work with data, the certificate prepares individuals for more technical, model-building tasks, whereas Data Analysts emphasize data interpretation and presentation.

Is the IBM data science professional certificate worth it?

The IBM Data Science Professional Certificate provides foundational skills in data analysis, machine learning, and tools like Python and Jupyter notebooks, which are valuable for entry-level data science roles. It can enhance a resume and demonstrate commitment to the field, but practical experience and additional skills are often required for advanced positions.

What is the IBM Data Science Professional Certificate?

The IBM Data Science Professional Certificate is an online program designed to help learners develop the foundational skills required for a career in data science. Offered through platforms like Coursera, this certificate consists of multiple courses covering topics such as data analysis, visualization, machine learning, and Python programming. Learners gain hands-on experience with tools like Jupyter Notebooks, SQL, and IBM Cloud. Upon completion, participants receive a certificate that can enhance their resumes and job prospects in the data science field.

Can you get a job with an IBM certificate?

An IBM Data Science Professional Certificate can enhance your qualifications for data science roles by demonstrating foundational skills in programming, data analysis, and machine learning. While it can improve your chances, employers typically consider a combination of certifications, experience, and skills when hiring for data science positions.

What can I do with an IBM data analyst professional certificate?

An IBM Data Science Professional Certificate prepares individuals for roles such as data analyst by teaching skills in data analysis, visualization, and programming with tools like Python and SQL. It can help you qualify for entry-level data analysis jobs, support data-driven decision-making, and demonstrate foundational data skills to employers.
What states have the most Ibm Data Science Professional Certificate jobs? States with the most job openings for Ibm Data Science Professional Certificate jobs include:
Data Scientist

Data Scientist

Apogee Engineering, LLC

Colorado Springs, CO • On-site

$155K - $190K/yr

Full-time

Posted 5 days ago

New

Job description

Overview
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****
Responsibilities
  • 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.

Qualifications
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%
Pay Range
USD $155,000.00 - USD $190,000.00 /Yr.

Apply