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Entry Level Data Science Certificate Jobs (NOW HIRING)

$60 - $90/hr

Jobs / Entry-Level Data Scientist - AI Chatbot Development Entry-Level Data Scientist - AI Chatbot ... science. #J-18808-Ljbffr

Entry Level Data Scientist AAA is offering an exciting opportunity to join our Data Science team ... Graduate degree or data science certification Remarkable benefits: * Health coverage for medical ...

Entry Level Data Scientist AAA is offering an exciting opportunity to join our Data Science team ... Graduate degree or data science certification Remarkable benefits: * Health coverage for medical ...

Job Title: Entry-Level Data Analyst Summary We are looking for a motivated Entry-Level Data Analyst ... Qualifications Bachelor s degree in Data Science, Computer Science, Economics, 0 2 years of ...

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 ...

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 ...

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Entry Level Data Science Certificate information

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

As of Sep 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 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 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 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.

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 can I do with an entry level data science certificate?

An entry level data science certificate prepares individuals for roles such as data analyst or junior data scientist, involving tasks like data cleaning, analysis, and visualization using tools like Excel, SQL, and Python. It can help you gain foundational skills to enter data-driven environments and pursue further certifications or experience for career advancement.
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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:

Infographic showing various Entry Level Data Science Certificate job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.

Entry-Level Data Scientist - AI Chatbot Development

AIToolboard

Washington, DC • On-site

$60 - $90/hr

Other

Posted 5 days ago


Job description

Jobs / Entry-Level Data Scientist – AI Chatbot Development

Entry-Level Data Scientist – AI Chatbot Development

Full-time

About the Role

The Asia Group (TAG) is now accepting applications for a Entry-Level Data Scientist – AI Chatbot Development to join our Team. This role will be based in Washington, DC.The Asia Group is a dynamic strategic advisory firm that positions clients, ranging from Fortune 100 multinationals to innovative startups, for success in established and emerging markets across the Indo-Pacific region. Our team includes a diverse mix of partners and staff possessing decades of government, private sector, academia, and military experience. Our corporate philosophy emphasizes teamwork, collegiality, creativity, and entrepreneurialism. Our operational culture is fast paced and demanding yet strives to be flexible and fun. Beyond the pursuit of professional success, our leadership actively embraces the challenges and opportunities associated with growing a highly successful firm, including by investing time and energy in mentoring and leading staff.The Entry-Level Data Scientist will support TAG+ by analyzing datasets, developing simple predictive models, and contributing to the overall data strategy. This role is an excellent opportunity for a recent graduate or someone changing careers who is looking to gain hands-on experience in a fast-paced environment. The successful candidate will have a strong foundation in statistical analysis and natural language processing (NLP), along with a desire to learn and grow within the rapidly evolving field of AI and data science.

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