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Entry Level Data Science Certificate Jobs (NOW HIRING)

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

SynergisticIT

Entry level Data scientist

Green River, WY · On-site

$18.25 - $24/hr

... for entry-level software programmers, Java Full stack developers, Python/Java developers, Data ... Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates ...

FINTRX

Data Scientist I - Remote, EST Hours

Boston, MA · On-site +1

A data analytics company based in Boston is seeking an entry-level Data Scientist to support their growing Data and Research team. The ideal candidate will analyze and interpret data, conduct web ...

Fintrx

Data Scientist

Boston, MA · On-site

About the role We're seeking an entry level Data Scientist to help support and drive FINTRX's rapidly growing Data, Research and Product organization. In this role you will compile, analyze, and ...

DeFiner Inc

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

Altair Data Resources, Inc

Data Analyst

Brentwood, TN · On-site

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to ... Working towards or completed BS or MS in Mathematics, Computer Science, Data Science, Information ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL

As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business ... This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ...

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How much do entry level data science certificate jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for entry level data science certificate in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Science Certificate vs Data Analyst?

AspectEntry Level Data Science CertificateData Analyst
Required CredentialsCertificate programs, basic programming, statisticsDegree in data-related field, some certifications
Work EnvironmentTraining programs, entry-level roles, data teamsBusiness, finance, healthcare, government
Employer & Industry UsageEmployers seeking foundational data skillsOrganizations analyzing data for decision-making

The Entry Level Data Science Certificate provides foundational skills in data analysis, programming, and statistics, preparing individuals for entry-level roles. Data Analysts typically have a degree and apply these skills in various industries to interpret data and support business decisions. While both roles involve working with data, the certificate is a stepping stone, whereas Data Analysts are often fully employed professionals with broader responsibilities.

What types of projects or tasks can I expect to work on as an entry-level data scientist after earning a certificate?

As an entry-level data scientist, you’ll typically support more senior team members by cleaning and organizing data, performing exploratory data analysis, and building basic predictive models. You may also help visualize data trends and prepare reports for non-technical stakeholders. Collaborating closely with data engineers, analysts, and business teams, you’ll gain hands-on experience with real-world datasets, learn to communicate findings effectively, and gradually take on more complex analytical tasks as your skills grow.

What is an Entry Level Data Science Certificate?

An Entry Level Data Science Certificate is a credential that demonstrates foundational knowledge and skills in data science. It typically covers core topics such as data analysis, statistics, programming (often in Python or R), and basic machine learning concepts. These certificates are designed for individuals new to the field and can help them qualify for junior roles or internships in data science. Completing such a program can also enhance a resume and provide a stepping stone toward more advanced study or professional certifications.

What are the key skills and qualifications needed to thrive as an entry-level data scientist, and why are they important?

To thrive as an entry-level data scientist, you need a solid understanding of statistics, data analysis, programming (usually in Python or R), and often a relevant degree or data science certificate. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and SQL databases is typically required. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business strategies. These skills and qualities are crucial for analyzing data accurately, communicating findings clearly, and making a tangible impact in data-driven organizations.
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What are the most commonly searched types of Data Science Certificate jobs? The most popular types of Data Science Certificate jobs are:
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Entry Level Data Science Certificate jobs near you
Infographic showing various Entry Level Data Science Certificate job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,504 per year, or $19.5 per hour.
Entry Level Data Scientist

Entry Level Data Scientist

SynergisticIT

Rock Cave, WV • On-site

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist Opportunity

At SynergisticIT, we aim to bring aboard IT professionals to help them build a rewarding career in cutting-edge technologies. Being in the industry for more than 10 years, we provide a splendid range of lucrative opportunities to sustain a position in our top tech clients like Google, Apple, Cognizant, Client, PayPal, to name a few. Our seasoned team firmly believes that the new tech talent can scale any business if given the right opportunity. We value your integrity, hard work, and commitment to make a difference in the technical sphere. For this reason, we focus on providing end-to-end career assistance and enhancing your already existing IT skills and knowledge. Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing, and preparing large databases for statistical analysis.

Minimum Background and Qualifications Requirement

  • Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or IT
  • Must have Mathematics or Statistics background

Technical and Soft Skills Required

  • Experience in Python programming and understanding of the software development life cycle.
  • Knowledge of Linear Algebra, Statistics, and Mathematics concepts.
  • Excellent written and verbal communication skills.
  • Highly motivated, self-learner, team player, and technically inquisitive.
  • Strong work ethics and creative problem-solving abilities.

Preferred Skills

  • Deep Learning
  • Data visualization
  • NLP
  • Scala
  • Django

Roles and Responsibilities

  • Collaborate with dynamic teams of engineers, developers, and scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems.
  • Assess project requirements and develop data analysis algorithms.
  • Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables.
  • Contribute to technical solutions and implement software analyses to unlock the secrets held by big data sets.
  • Integrate components like web-based UI, commercial indexing products, and access control mechanisms to create operational information and knowledge discovery systems.

Benefits

  • Competitive salary
  • Flexible work schedule & part-time off
  • E-verified
  • No relocation
  • H1B filing
  • On job technical support
  • Skill Enhancement
  • Opportunity to work with Fortune 500 Companies

Recent IT graduates looking to build a solid career in the tech industry. If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data Science, this job opportunity can be the right career path for you.

Apply