1

Entry Data Scientist Jobs (NOW HIRING)

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 ...

Data Scientist - Entry

Denver, CO · Hybrid

$80K - $90K/yr

Job Summary Our client is seeking a Entry-Level Data Scientist to join their team! This position is located Hybrid in Denver, Colorado. The ideal candidate will have a foundational understanding in ...

For data science/machine learning positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT ...

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 ...

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 ...

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 ...

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 ...

Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates ... data Science/Machine learning Positions REQUIRED SKILLS Bachelors degree or Masters degree in ...

SynergisticIT Is Where Your Career Begins If you're a Java developer, software programmer, data scientist, or data analyst struggling to break into the tech industry, you're not alone. The job market ...

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 ...

Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates ... data Science/Machine learning Positions REQUIRED SKILLS Bachelors degree or Masters degree in ...

Research Data Scientist The success of a company depends on the passionate people we partner with ... Lead and optimize entry processes and data review to ensure accuracy, completeness, enhance ...

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 ...

... Gartner Data Analytics Summit (Florida) - 2023. All positions are open for all visas and US ... Recent computer science/engineering/mathematics/statistics or science graduates or people looking ...

Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates ... data Science/Machine learning Positions REQUIRED SKILLS Bachelors degree or Masters degree in ...

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 ...

next page

Showing results 1-20

People also search for

Entry Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do entry data scientist jobs pay per year?

As of May 28, 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 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 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.

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.

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.

More about Entry Data Scientist jobs
What cities are hiring for Entry Data Scientist jobs? Cities with the most Entry Data Scientist job openings:
What states have the most Entry Data Scientist jobs? States with the most job openings for Entry Data Scientist jobs include:
Senior Data Scientist

Senior Data Scientist

Tecolote Research

Chantilly, VA • On-site

Full-time

Posted 27 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.