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Entry Data Scientist Jobs (NOW HIRING)

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

Overview The Senior Data Scientist will support our customers initiatives by developing/maintaining ... Establishing and integrating large datasets, data entry , data conditioning and cleaning, data ...

GDIT

Human Performance Data Scientist I

Hurlburt Field, FL · On-site

$72K - $98K/yr

The Human Performance (HP) Data Scientist I supports the program by conducting basic data entry, data cleaning, and performance analysis that directly contributes to the readiness and resilience of ...

GliaCell Technologies

Data Scientist

Aurora, CO · On-site

$50K - $120K/yr

Are you a Data Scientist who is ready for a new challenge that will launch your career to the next ... Global Entry * Annual Swag Budget Learn more about GliaCell Technologies: To apply for this ...

GliaCell Technologies

Data Scientist

Honolulu, HI · On-site

$50K - $120K/yr

Are you a Data Scientist who is ready for a new challenge that will launch your career to the next ... Global Entry * Annual Swag Budget Learn more about GliaCell Technologies: To apply for this ...

Berriehill Research

Senior Data Scientist

Atlantic City, NJ · On-site

$110K - $128K/yr

The team has been tasked to lead human-in-the-loop (HITL) simulations to inform initial entry into ... ARA's data scientists will enable pre-evaluation of potential vertiport sites and proposed routes ...

ARA

Senior Data Scientist

Atlantic City, NJ · On-site

$110K - $128K/yr

The team has been tasked to lead human-in-the-loop (HITL) simulations to inform initial entry into ... ARA's data scientists will enable pre-evaluation of potential vertiport sites and proposed routes ...

ManTech International

Senior Data Scientist

Washington, DC · On-site

$148K - $263K/yr

MANTECH is seeking a motivated, career, and team-oriented Senior Data Scientist to support a DHS ... Must be able to obtain and maintain an ICE Entry on Duty (EOD) Suitability. Physical Requirements:

ARA

Principal Data Scientist

Atlantic City, NJ · On-site

$140K - $157K/yr

The team has been tasked to lead human-in-the-loop (HITL) simulations to inform initial entry into ... ARA's data scientists will enable pre-evaluation of potential vertiport sites and proposed routes ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...

GliaCell Technologies

Senior Data Scientist

Aurora, CO · On-site

$115K - $190K/yr

Are you a Senior Data Scientist who is ready for a new challenge that will launch your career to ... Global Entry * Annual Swag Budget Learn more about GliaCell Technologies: To apply for this ...

Dynanet Corporation

Sr. Data Scientist

Washington, DC · On-site

$160K - $180K/yr

Job Title: Sr. Data Scientist Job Type: Full-time Salary Range: $160,000 - $180,000 Location ... Experience with data platforms, data entry systems, or analytics tools; exposure to Palantir ...

Dynanet Corporation

Sr. Data Scientist

Washington, DC · On-site

$160K - $180K/yr

Job Title: Sr. Data Scientist Job Type: Full-time Salary Range: $160,000 - $180,000 Location ... Experience with data platforms, data entry systems, or analytics tools; exposure to Palantir ...

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All JobsEntry Data Scientist Jobs

Entry Data Scientist information

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$46K

$165K

$243.5K

How much do entry data scientist jobs pay per year?

As of Jun 20, 2026, the average yearly pay for entry data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are Entry Data Scientists?

Entry Data Scientists are professionals at the beginning of their data science careers who use statistical analysis, programming, and data visualization to extract meaningful insights from data. They typically work with large datasets, clean and preprocess data, build and test models, and help solve business problems using data-driven approaches. Entry-level data scientists often collaborate with more experienced data scientists, engineers, and business stakeholders to support projects and improve decision-making processes. They usually have foundational knowledge in mathematics, statistics, and programming languages like Python or R.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

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

To thrive as an Entry Data Scientist, you need a solid grasp of statistics, data analysis, and programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with tools such as SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set successful candidates apart in this role. These competencies enable you to extract actionable insights from data and collaborate effectively with technical and non-technical stakeholders.

What is the difference between Entry Data Scientist vs Data Analyst?

AspectEntry Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Math, Statistics, or related field; strong Excel and data visualization skills
Work EnvironmentCollaborates with data science teams, develops models, and explores dataPrepares reports, interprets data, and supports decision-making
Industry UsageUsed in tech, finance, healthcare, and more for predictive modelingCommon across marketing, finance, and operations for reporting and analysis

Entry Data Scientists focus on building models and applying machine learning techniques, often requiring programming skills. Data Analysts primarily interpret data, create reports, and support business decisions. While both roles work with data, Entry Data Scientists tend to handle more technical tasks involving modeling, whereas Data Analysts focus on data interpretation and visualization.

What types of projects and responsibilities can an entry-level data scientist expect in their first year?

As an entry-level data scientist, you'll typically work on tasks such as cleaning and preprocessing data, building simple predictive models, and assisting with data visualization for reporting. You may collaborate closely with more experienced data scientists, data engineers, and business analysts to help frame business problems into analytical solutions. It's common to contribute to parts of larger projects, such as supporting feature engineering or testing model performance, while learning best practices in coding and data analysis. Over time, you may be given ownership of small projects, which helps build your expertise and prepares you for more complex assignments.

Is 40 too late for data science?

Entry data scientist roles are open to candidates of various ages, and starting a career in data science at 40 is possible with relevant skills such as programming, statistics, and machine learning. Many professionals successfully transition into data science later in life by gaining certifications, building portfolios, and leveraging prior experience.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret results, develop models, and make strategic decisions. Data scientists with expertise in machine learning, programming, and domain knowledge remain essential for designing and deploying AI solutions effectively. The role is evolving to include managing AI tools and ensuring ethical use of data.

Can I get a data scientist job with no experience?

Entry-level data scientist positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior work experience is not always mandatory, candidates typically need relevant coursework, projects, or certifications to demonstrate their skills. Building a portfolio of projects and gaining practical experience through internships or online courses can improve chances of securing an entry-level role.
More about Entry Data Scientist jobs
What cities are hiring for Entry Data Scientist jobs? Cities with the most Entry Data Scientist job openings:
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What job categories do people searching Entry Data Scientist jobs look for? The top searched job categories for Entry Data Scientist jobs are:
Entry Data Scientist jobs near you
Infographic showing various Entry Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 85% Full Time, 12% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Senior Data Scientist

Senior Data Scientist

Tecolote Research

Chantilly, VA • On-site

Full-time

Posted 20 days ago

Job description

Overview
The Senior Data Scientist will support our customers initiatives by developing/maintaining/analyzing data sets in order to create models and determinate potential outcomes. The position is immediately available for qualified candidates with the appropriate clearance.
Responsibilities
The Senior Data Science Analyst shall be able to demonstrate experience and expertise in the following:
  • Programming languages such as Python(inclusive of libraries that are used in data science e.g. numpty, pandas, and scipy); R; Julia (dynamic programming language), or other programming languages.
  • The development of frameworks for creating and integrating machine learning models such as TensorFlow, Pytorch, Jupyter Notebook and or Apache Hadoop
  • The development and use of Visualizatin Tools to create interactive scientific graphing capabilities. These capabilities and experience can be a combination of tool familiarity exhibited with competency in Plotly, Tableau, PowerBI, Qlik, and/or Google Charts
  • Understanding of relevant statistical measures, development and evaluation of data sets.

Skills Required
The Senior Data Science Analyst shall apply the principles, theories and analytical methods of Data Science Analysis, which encompasses the following:
  • Tool and method development by using high-level modeling, machine learning techniques, and software languages
  • Hypothesis development and validation of budget and schedule sufficiency/achievability and risk parameters
  • Working with data visualization tools and creating data visualization concepts
  • Experience developing queries and reports, parsing and merging data from complex datasets
  • Establishing and integrating large datasets, data entry , data conditioning and cleaning, data mining and end-to-end database management
  • Developing customer-facing reporting tools to provide timely and accurate decision-support and information
  • Understanding of how data science enables cost estimating, IPM and cross program analysis for comprehensive, data driven methods and assessments.

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.

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