1

Data Science Entry Jobs (NOW HIRING)

... entry and data cleanup. • Display analytic results in text and visually using appropriate data science, business intelligence, and visualization tools (Python, R, SQL, Tableau, Microsoft Office ...

Quotient Sciences: Molecule to Cure. Fast. Quotient Sciences is a leading drug development and ... Responsible for the following data entry associated tasks for their assigned studies: source ...

As a Data Entry Intern, you will work closely with our Data Team researching new data sources and entering geospatial data into Acres. The data science team at Acres is team-oriented, innovative, and ...

Data Entry Support

Boise, ID

$20.09 - $25.48/hr

Data Entry Support Duties: * This role will aid in data entry / clean up of chemical records ... Associate's degree in a science related field is required with a preference for Chemistry related ...

Data Entry Operator III

Portsmouth, NH · On-site

$17.25 - $23.25/hr

... scientific expertise, and process excellence and helps their customers to deliver new and ... Job Title: Data Entry Operator III Location: Portsmouth, NH, 03801 Duration: 12 Months Job Type:

Data entry associate

Lexington, MA · On-site

$18 - $23.25/hr

Data Entry Associate A Few Words About Us Integrated Resources, Inc is a premier staffing firm ... Qualifications • AS or BS in Science Field Ankita Teja Technical Recruiter Integrated Resources ...

Data entry associate

Lexington, MA

$18 - $23.25/hr

Data entry from batch records into electronic files and GMP systems, including but not limited to ... Qualifications AS or BS in Science Field Additional Information Ankita Teja Technical Recruiter ...

Data Entry Specialist

Sacramento, CA · On-site

$18.50 - $24.75/hr

Data Entry Specialist A top provider of outsourcing, staffing, consulting and workforce solutions ... sciences, manufacturing and logistics, office and administration and sales and marketing. JOB ...

Showing results 21-40

Data Science Entry information

See salary details

$11

$19

$28

How much do data science entry jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data science entry 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 scientist?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

What skills and qualifications are needed to thrive as an entry-level data scientist?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What types of projects do entry-level data scientists work on?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

Can a data science entry-level position be entry-level?

Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring skills in programming languages like Python or R, and familiarity with data analysis tools. These roles typically involve learning on the job and may require a relevant degree or certification, such as a data science bootcamp or coursework.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.
More about Data Science Entry jobs

What cities are hiring for Data Science Entry jobs?

Cities with the most Data Science Entry job openings:

What states have the most Data Science Entry jobs?

States with the most job openings for Data Science Entry jobs include:

Infographic showing various Data Science Entry 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.

Workforce Data Scientist

CIDIS LLC

Springfield, VA • On-site

Full-time

Re-posted 16 days ago


Job description

Job Summary:
CIDIS LLC is a dynamic management consulting firm supporting government and private sector clients since 2013. They are seeking a Workforce Data Scientist to conduct data analysis and reporting for federal clients, focusing on workforce demographics and equal employment opportunities.
Responsibilities:
• Carrying out both primary and secondary (e.g., HRIS) data collection and analysis activities, interpretation of data and analytic results, development and vetting of recommendations.
• Developing reports and presentations and delivering reports and presentations to a variety of audiences, to include senior leaders.
• Utilize and develop queries and reports from NGA's HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques).
• Partner with the EEO government staff to provide all demographic workforce analytics for the agency and to oversight (e.g., ODNI, EEOC, OPM).
• Identify, collect, and analyze data; then report on findings with respect to triggers and barriers to equal employment opportunities and an inclusive workplace, the current and historical status of NGA workforce metrics, and employee sentiment (e.g., awareness of and satisfaction with agency programs and policies).
• Administer quality control and process improvement activities, including data entry and data cleanup.
• Display analytic results in text and visually using appropriate data science, business intelligence, and visualization tools (Python, R, SQL, Tableau, Microsoft Office), and communicate results to audiences at all levels of NGA.
• Write and maintain supporting documentation, Standard Operating Procedures (SOPs), and guidelines for data cleaning and process documentation.
• Support annual, quarterly, and ad hoc internal and external reporting requirements for NGA by preparing and delivering briefings and reports as needed for both technical and non-technical audiences.
• Participate in meetings with EEO and partners (to include leaders at all levels of NGA and others, as needed) related to EEO and workforce demographic data topics.
• Participate in NGA, IC, and Federal Government working groups as directed. The contractor/analyst shall acknowledge all customer requests within two business hours depending on the request.
Qualifications:
Required:
• 11 years of experience
• Must have TS/SCI Clearance with CI Poly or ability to obtain a CI Poly
• Experience and demonstrated ability to extract and synthesize complex information to prepare briefings, staff material, read-ahead, presentations, and other material as required with attention to detail.
• Two to three years of experience and demonstrated ability with appropriate data science, business intelligence, and visualization tools, predominantly Tableau, but could also include Python, R, SQL, and/or Microsoft Office.
• Demonstrated excellent written and oral communication skills.
• Possess a bachelor’s degree or higher in Operations Research, Mathematics, Statistics, Data Science, Computer Science, or a similar field with quantitative workforce analytics experience.
• Experience conducting qualitative and quantitative data analysis using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques), making data-driven conclusions, and turning the findings into meaningful and or actionable recommendations.
• At least seven years related experience in the social science or workforce EEO related field.
• Demonstrated experience working independently or under limited supervisor and deliver outcomes on time.
• Demonstrated experience interacting with senior-level directors and/or agency heads/senior leadership.
• Experience utilizing both human capital data (e.g., promotion, attrition rates, internal churn) and EEO and workforce demographic topical areas (e.g., unconscious bias) are required.
Preferred:
• Experience working in or with agency security offices or directorates is a plus.
Company:
CIDIS is a management consulting firm that works with its clients to create effective, high-performing organizations by transforming their business operations and human capital management practices. Founded in 2013, the company is headquartered in Reston, USA, with a team of 2-10 employees. The company is currently Early Stage.