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Entry Data Scientist Jobs (NOW HIRING)

Sr. Data Scientist

Washington, DC ยท Hybrid

$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 ...

Scientific Data Curator

Santa Rosa, CA ยท Hybrid

$64K - $65K/yr

Participate in periodic reviews with the data sciences and lab teams to refine or create new data entry schema. QUALIFICATIONS * a Bachelor's or Master's degree in Biochemistry, Molecular Biology ...

New

Scientific Data Curator

Mundelein, IL ยท Hybrid

$60K - $60K/yr

Participate in periodic reviews with the data sciences and lab teams to refine or create new data entry schema. QUALIFICATIONS * a Bachelor's or Master's degree in Biochemistry, Molecular Biology ...

Scientific Data Curator

San Mateo, CA ยท Hybrid

$67K - $67K/yr

Participate in periodic reviews with the data sciences and lab teams to refine or create new data entry schema. QUALIFICATIONS * a Bachelor's or Master's degree in Biochemistry, Molecular Biology ...

New

Scientific Data Curator

Alameda, CA ยท Hybrid

$68K - $69K/yr

Participate in periodic reviews with the data sciences and lab teams to refine or create new data entry schema. QUALIFICATIONS * a Bachelor's or Master's degree in Biochemistry, Molecular Biology ...

New

Scientific Data Curator

Sonoma, CA ยท Hybrid

$66K - $66K/yr

Participate in periodic reviews with the data sciences and lab teams to refine or create new data entry schema. QUALIFICATIONS * a Bachelor's or Master's degree in Biochemistry, Molecular Biology ...

New

Scientific Data Curator

Hayward, CA ยท Hybrid

$67K - $68K/yr

Participate in periodic reviews with the data sciences and lab teams to refine or create new data entry schema. QUALIFICATIONS * a Bachelor's or Master's degree in Biochemistry, Molecular Biology ...

New

Scientific Data Curator

San Jose, CA ยท Hybrid

$69K - $69K/yr

Participate in periodic reviews with the data sciences and lab teams to refine or create new data entry schema. QUALIFICATIONS * a Bachelor's or Master's degree in Biochemistry, Molecular Biology ...

New

Scientific Data Curator

Sunnyvale, CA ยท Hybrid

$70K - $70K/yr

Participate in periodic reviews with the data sciences and lab teams to refine or create new data entry schema. QUALIFICATIONS * a Bachelor's or Master's degree in Biochemistry, Molecular Biology ...

New

Scientific Data Curator

Fremont, CA ยท Hybrid

$64K - $65K/yr

Participate in periodic reviews with the data sciences and lab teams to refine or create new data entry schema. QUALIFICATIONS * a Bachelor's or Master's degree in Biochemistry, Molecular Biology ...

New

Data Entry (Part-Time)

Atlanta, GA ยท On-site

$16.25 - $22/hr

... AI/Data Science, Cloud migrations, Cyber-Security, and Engineering. * At Collabera you have 80 ... Problem solving skill Previous Data Entry exp. Timings :: 7am - 5:30pm Sat & Sun 20 hrs Duration ...

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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:
What states have the most Entry Data Scientist jobs? States with the most job openings for Entry Data Scientist jobs include:
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.
Workforce Data Scientist with Security Clearance

Workforce Data Scientist with Security Clearance

CIDIS LLC

Springfield, VA โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

Workforce Data Scientist Full-time On-site in Springfield, VA 11 years of experience Must have TS/SCI Clearance with CI Poly or ability to obtain a CI Poly CIDIS is a dynamic management consulting firm, proudly supporting both government and private sector clients since 2013. Guided by our core values of Collaboration, Impact, Drive, Innovation, and Strategy, our experienced team partners with clients to deliver meaningful, strategic solutions that drive organizational success. Learn more at our website: https://cidisconsulting.com/.

We are currently looking for passionate, mission-driven individuals with expertise and experience in workforce data analysis to support our federal client. Experience working in or with agency security offices or directorates is a plus. This position is contingent on an upcoming contract award to our firm.

Duties may include: * 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.

Required Skills and Experience: * 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 bachelorโ€™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.

Culture & Benefits * 401(k) * Medical, Dental, Vision, and AD&D Insurance * Health Savings Account * Paid Time Off * Paid Federal Holidays * Short-term disability * Flexible work schedule * Employee Referral Program * Professional Development and Mentorship * Veteran friendly (Virginia Values Veterans (V3) Company) * Person-First Focus * Competitive Pay * Collaborative culture