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Remote Ibm Data Science Certificate Jobs (NOW HIRING)

The Data Science Analyst will leverage machine learning and statistical modeling to develop predictive models and deliver insights to stakeholders. Responsibilities : • Perform exploratory data ...

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch Group is looking for a transformative Head of Data Science to ...

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch Group is looking for a transformative Head of Data Science to ...

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... This is a full-time position About the Team The Data Science team provides critical insights and ...

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

VP, Data Science

$235K - $336K/yr

The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced ... This role is fully remote and not tied to any specific office location. While there are no regular ...

Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA ... in Data Science * Professional experience with, and more than a basic understanding of AI ...

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Remote Ibm Data Science Certificate information

Can an IBM certificate get you a job?

An IBM Data Science Certificate can enhance your resume and demonstrate 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, and it is often combined with practical projects or additional qualifications.

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 may improve job prospects, but its value depends on individual career goals and prior experience.

What are the key skills and qualifications needed to thrive as a Data Scientist with an IBM Data Science Certificate, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, programming (especially Python or R), and a solid understanding of machine learning, often demonstrated by certifications like the IBM Data Science Certificate. Familiarity with tools such as Jupyter Notebooks, IBM Watson, SQL, and data visualization platforms is highly beneficial. Curiosity, problem-solving ability, and effective communication are essential soft skills for interpreting data and presenting insights. These competencies enable data-driven decision-making and the ability to translate complex findings into actionable business strategies.

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, machine learning engineer, or business intelligence analyst. These positions typically require skills in programming languages like Python or R, data visualization, and statistical analysis, often utilizing tools like SQL and Tableau.

What types of projects or assignments can I expect while pursuing a Remote IBM Data Science Certificate, and how do they prepare me for real-world data science roles?

While working toward a Remote IBM Data Science Certificate, you will engage in a variety of hands-on projects such as data analysis with Python, building machine learning models, and creating data visualizations using real datasets. These assignments are designed to simulate actual workplace tasks, helping you build a strong project portfolio and gain practical experience with popular tools like Jupyter Notebooks and IBM Cloud. Completing these projects not only demonstrates your skills to prospective employers but also prepares you to tackle typical challenges faced by data scientists in professional environments, such as cleaning messy data and communicating insights effectively.

What is a Remote IBM Data Science Certificate?

A Remote IBM Data Science Certificate is a professional credential earned by completing an online data science program offered by IBM, typically through platforms like Coursera or edX. This certificate covers essential topics such as Python programming, data analysis, machine learning, and data visualization, all accessible from anywhere with an internet connection. It is designed for individuals seeking to build foundational skills in data science and enhance their employability in the field. Upon successful completion, learners receive a digital certificate from IBM that can be shared with employers or added to their professional profiles.

Do employers recognize the IBM data science cert?

Employers generally recognize the IBM Data Science Certificate as a valid credential for data science roles, especially when combined with practical skills in Python, SQL, and machine learning. While it demonstrates foundational knowledge, some employers may prefer or require additional experience or advanced certifications for more senior positions.

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

AspectRemote Ibm Data Science CertificateData Analyst
CredentialsIBM Data Science Certificate, programming skills, statistics knowledgeTypically a degree in data analysis, statistics, or related field
Work EnvironmentRemote or on-site, project-based, collaborativeOffice or remote, data interpretation and reporting
Industry UsageTech, finance, healthcare, and more; focuses on data science projectsBusiness, marketing, finance; focuses on data reporting and insights

The Remote IBM Data Science Certificate provides foundational skills in data science, including programming and analytics, suitable for roles involving complex data modeling. Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles work with data, the certificate prepares you for more technical, project-based tasks, whereas Data Analysts primarily handle data interpretation and visualization.

More about Remote Ibm Data Science Certificate jobs
What cities are hiring for Remote Ibm Data Science Certificate jobs? Cities with the most Remote Ibm Data Science Certificate job openings:
What are the most commonly searched types of Ibm Data Science Certificate jobs? The most popular types of Ibm Data Science Certificate jobs are:
What states have the most Remote Ibm Data Science Certificate jobs? States with the most job openings for Remote Ibm Data Science Certificate jobs include:
Infographic showing various Remote Ibm Data Science Certificate job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Intern, Data Science-Remote

Intern, Data Science-Remote

American Heart Association

Dallas, TX • On-site, Remote

$23/hr

Part-time

Posted 12 days ago


American Heart Association rating

8.7

Company rating: 8.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

27th of 690 rated non-profit organizations


Job description

Since our founding in 1924, we've cut cardiovascular disease deaths in half, but there is still so much more to do. To overcome today’s biggest health challenges and accelerate this progress, we need passionate individuals like you. Join our movement, be part of the progress, and help ensure a healthier future for all. You matter, and so does the impact you can make with us.
The American Heart Association’s Internship Program provides college students an opportunity for hands-on experience in various facets for individuals interested in gaining work experience with a non-profit, voluntary health organization. 

This internship supports the Data Science team and provides hands-on experience in data science, data engineering, and statistical modeling within clinical and biomedical research settings. Interns will contribute to key initiatives, including the development of agentic workflows and the exploration of advanced analytical and engineering methods. The role offers opportunities to collaborate closely with cross-functional teams and to contribute to impactful, real-world projects that drive research innovation and data-driven decision-making.

The Association offers many resources to help you maintain work-life harmonization through your changing needs and life situations.  To help you be successful, you will have access to Heart U, our award-winning corporate university, as well as training and support locally and through our National Center.
#TheAHALife is more than a company culture; it is our way of life. It embodies our commitment to work-life harmonization and is guided by our core values where our employees can thrive both personally and professionally. Discover why you will Be Seen. Be Heard. Be Valued at the American Heart Association by following us on LinkedIn, Instagram, Facebook, X, and at heart.jobs.

Internship Overview:

  • Time Commitment: 20-25 hours per week
  • Internship Duration:  9/8/26-12/11/2626
  • Location: Remote
  • Salary: $23.00 per hour

Internship Outcomes:

Individuals participating in the internship program are provided with an opportunity to:

  • Gain important and practical job skills to be successful in a non-profit environment.
  • Opportunity to explore a career-path with a reputable voluntary health/service organization.
  • Complete an internship that enriches your academic and professional resume as well as enriching your personal life by making a difference in the lives of others.
  • Collaborate with interdisciplinary teams including clinicians, data scientists, statisticians, and engineers.
  • Develop technical, analytical, and scientific communication skills applicable to both academic and industry careers.

Tasks may include, but are not limited to:

  • Retrieve, integrate, and analyze large-scale healthcare datasets, including electronic health records (EHRs) and clinical registries, to support clinical and population health research.
  • Develop and maintain data processing, governance, and quality assurance pipelines to ensure reliable and compliant data workflows.
  • Design and evaluate AI/ML solutions, including agentic workflows and foundation models, using cloud platforms such as Snowflake and AWS.
  • Collaborate with cross-functional teams to translate analytical findings into actionable insights and support data-driven decision-making.
  • Contribute to code reviews, technical documentation, and the development of abstracts, manuscripts, and other scientific communications.



  • Currently pursuing an MS or PhD degree in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, Public Health, or a related quantitative field.
  • Demonstrated ability to research health topics and translate findings into actionable guidance.
  • Prior research or industry experience in biomedical informatics, clinical research, epidemiology, healthcare analytics, or related domains.
  • Demonstrated proficiency in Python, R, and SQL, with experience developing reproducible data processing pipelines and analytical workflows for large-scale datasets.
  • Demonstrated experience developing, deploying, and evaluating ML and AI solutions, including large language models (LLMs), AI agents, and agentic workflows for data engineering, analytics, and scientific research applications.
  • Proficiency with software engineering best practices, including Git-based version control, code review, testing, documentation, and Agile project management tools.
  • Experience working with cloud computing and/or high-performance computing environments (e.g., AWS, Snowflake, Azure, GCP).
  • Excellent communication, scientific reasoning, and critical thinking skills, with the ability to collaborate effectively in multidisciplinary research teams.
  • Experience with healthcare interoperability standards (FHIR, HL7), EHR systems (Epic), and/or clinical imaging data (CT scan, MRI, ECG) preferred.
  • Experience creating interactive data visualizations and dashboards using tools such as Tableau, Power BI, Shiny, Streamlit preferred.
  • Prior authorship or co-authorship of peer-reviewed publications preferred.

 

  • Ability to work in a fast-paced, dynamic environment managing multiple priorities involving multiple entities.
  • Intermediate to excellent proficiency in Microsoft Word, Excel, Outlook, PowerPoint.
  • Required Equipment: Reliable WiFi Connection.
  • Minimum availability of 20 hrs/wk, M-F between the hours of 8:30am-5pm.
  • Must be legally authorized to work in the United States for any employer without sponsorship, now or in the future.  For any roles working remotely, the work must also be performed inside the United States, not in a foreign country.



The job application window is expected to close: July 17, 2026.

The American Heart Association invests in its people.  Visit Rewards & Benefits to see more details.

  • Compensation and Performance – Attracting talented, committed interns means offering competitive compensation, ongoing professional development and training, and an environment in which to work and grow. And we do.
  • Professional Development – You can join one of our many Employee Resource Groups (ERG) or be a mentor/mentee in our professional mentoring program.  Heart U is the Association’s national online university, with more than 100,000 resources designed to meet your needs and busy schedule.
  • Healthcare Benefits – You will have the opportunity to participate in our Teladoc General Medical and Behavioral Health programs.  We also provide access to our Employee Assistance Program (EAP) at no cost as a confidential program designed to assist employees and family members with personal issues that affect their relationships at home or at work.

Apply Today:

So, are you ready to intern for the largest voluntary health organization dedicated to fighting heart disease, stroke, and other cardiovascular diseases?


The American Heart Association’s 2028 Goal: Building on over 100 years of trusted leadership in cardiovascular and brain health, by 2028 the Association will drive breakthroughs and implement proven solutions in science, policy, and care for healthier people and communities. The greatest discoveries in health must reach everyone where they are.


At American Heart Association | American Stroke Association, our mission is to be a relentless force for a world of longer, healthier lives, regardless of race, ethnicity, gender, gender identity, religion, age, language, sexual orientation, national origin and physical or cognitive abilities.


This position not a match with your skills?  Click here to see other opportunities.

In accordance with local and state laws where applicable, qualified applicants with arrest or conviction records will be considered for employment.

EOE/Protected Veterans/Persons with Disabilities


#AHAWAYUP, #LI-DNP, #LI-Remote

What American Heart Association employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


American Heart Association logo

About American Heart Association

Sourced by ZipRecruiter

\#TheAHALife is our company culture, our way of life, reflecting our diversity and inclusion, our focus on work-life harmonization and our Guiding Values. Discover why you will Be Seen. Be Heard. Be Valued™ at the American Heart Association by following us on LinkedIn, Instagram, Facebook, Twitter, and at heart.org.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Dallas, TX, US

Year founded

1924