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Entry Data Scientist Jobs (NOW HIRING)

Recent computer science/engineering/mathematics/statistics or science graduates or people looking ... For data science/machine learning positions required skills include a bachelors degree or masters ...

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

Senior Data Scientist

Chandler, AZ · On-site

$148.20K - $263K/yr

Senior Data Scientist Unlock the secrets of intelligence with MANTECH! Join a dynamic team at the ... Must be able to obtain and maintain an ICE Entry on Duty (EOD) Suitability. Physical Requirements:

Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills ... Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or ...

Senior Data Scientist

Washington, DC · On-site

$148.20K - $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:

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 ...

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 ...

Recent computer science/engineering/mathematics/statistics or science graduates looking to make ... Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning

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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:
Data Scientist - Wagner lab

Data Scientist - Wagner lab

University of Pittsburgh

Pittsburgh, PA • On-site

Full-time

Posted 6 days ago


Job description

The Data Scientist's primary responsibilities will include curating data, assessing data integrity, facilitating the use of effective data management tools, and analyzing clinical research data following traumatic brain injury and other acquired neurological injuries. The incumbent should have proficient knowledge in at least one statistical software package (e.g. SAS) and some working knowledge of other packages (e.g.

SPSS, R). The incumbent should have some working knowledge of SQL database structure and strong working knowledge of versatile programming tools such as Python. Experience with electronic data capture program, REDCap, is preferred.

Advanced knowledge of clinical research methods and quantitative statistical skills. The incumbent will interface with relevant stakeholders, providing input and directly supporting database upgrades, modifications, and expansions. Will be involved in preparing results for presentation in the form of scientific posters, oral presentation, written manuscripts, and/or grant preparation.

The incumbent will also have opportunities to take a lead role with some projects in their portfolio with regard to lead authorship on projects that require participation and write up of data synthesis, interpretation, and discussion elements of specific manuscripts. Other responsibilities include training and supervising staff/students with respect to data visualization, data entry and reconciliation, maintaining clinical research databases, as well as support database, infrastructure, and other project management needs.