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No Experience Entry Level Data Science Jobs (NOW HIRING)

Data Scientist - NYC

Boston, MA ยท 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 ...

... data science solutions. * Present and defend results to leadership audiences, both technical and ... Jupyter Notebook * (Optional) R script Experience & Qualifications * Passion in modern technology ...

Description Altair Data Resources is seeking an entry-level Data Analyst who is looking for an ... You will gain significant experience within our Data Management group helping clients understand ...

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to ... You will gain significant experience within our Data Management group helping clients understand ...

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No Experience Entry Level Data Science information

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$10

$19

$26

How much do no experience entry level data science jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for no experience entry level data science in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

What are some common challenges faced by individuals starting in entry-level data science roles with no prior experience?

Individuals beginning in entry-level data science positions without prior experience often face challenges such as getting up to speed with real-world datasets, learning to use industry-standard tools (like Python, SQL, or Tableau), and understanding how to translate business problems into data-driven solutions. Adapting to collaborative work environments, where projects often require teamwork with analysts, engineers, and business stakeholders, can also be a learning curve. However, most organizations provide mentorship and training opportunities to help new hires develop these skills quickly and grow within the team.

What are the key skills and qualifications needed to thrive as a No Experience Entry Level Data Scientist, and why are they important?

To thrive as a No Experience Entry Level Data Scientist, you need a solid understanding of statistics, basic programming (often Python or R), and foundational knowledge in data analysis, typically supported by a relevant degree or coursework. Familiarity with tools like Excel, Jupyter Notebook, and introductory machine learning libraries such as scikit-learn or pandas is commonly expected. Curiosity, problem-solving skills, and a willingness to learn quickly help candidates stand out in this fast-evolving field. These abilities are crucial for analyzing data effectively, drawing meaningful insights, and adapting to new technologies and challenges in data science roles.

What are 'No Experience Entry Level Data Science' jobs?

No Experience Entry Level Data Science jobs are positions designed for individuals who are new to the field of data science and may not have any prior professional experience. These roles typically focus on candidates with foundational knowledge of data analysis, statistics, and basic programming skills, often gained through coursework, bootcamps, or self-study. Employers for these positions generally provide training and mentorship, allowing new hires to learn practical data science skills on the job. Such positions are a great way for beginners to gain hands-on experience and start building a career in data science.
More about No Experience Entry Level Data Science jobs
What cities are hiring for No Experience Entry Level Data Science jobs? Cities with the most No Experience Entry Level Data Science job openings:
What states have the most No Experience Entry Level Data Science jobs? States with the most job openings for No Experience Entry Level Data Science jobs include:
Infographic showing various No Experience Entry Level Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, and 7% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.
Data Scientist - NYC

Data Scientist - NYC

The Hollister Group

Boston, MA โ€ข On-site

$100 - $200/hr

Contractor

Posted 11 days ago


Job description

Our client is seeking a talented Data Scientist to join their team as an independent remote employee. Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies. You'll be at the forefront of high-value tactical workflows that drive all aspects of the investment process.
As a Data Scientist with our client, you'll have the opportunity to own due diligence processes, source efforts, or portfolio support initiatives, with your work influencing billions of dollars in investment decisions. You'll work in a collaborative, fast-moving team in close collaboration with experienced professionals passionate about AI/ML and its impact on the private equity space.
Responsibilities:
  • Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools
  • Create valuable insights from datasets directly with stakeholders
  • Architect and manage analytical projects from ideation to launch
  • Leverage alternative data sets to algorithmically determine the best investments for our clients
  • Conduct competitive analysis to determine the soundness of investments using all relevant data sources
  • Use ground-truth data from portfolio companies to improve business outcomes (automated lead generation/enrichment, forecast and churn modeling, etc.)

Required Skills:
  • Bachelor's degree or concentration in a highly quantitative or relevant data science field (Computer Science, Statistics, Mathematics, Finance, etc.) or equivalent professional experience
  • Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts)
  • Experience writing code in Python
  • Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models
  • Excitement for the venture capital and private equity space and the opportunity to make analytical and data-driven decisions
Logistics:
  • Location: This role requires 3 days per week in our clients office in NYC.
  • Pay Range: $100-$200/hr, depending on experience and scope.
  • We encourage qualified applicants to apply even if their compensation expectations differ, as we value technical expertise and culture fit.

Our Commitment to Inclusion & Belonging
The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupation or position.
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