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Part Time Data Science Internship No Experience Jobs in Virginia

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

No Job Number: R0243983 Location: Arlington,VA,US Share job via: Share Data Scientist, Mid The ... Work with us as we use data science for good. Join us. The world can't wait. You Have: * Experience ...

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

... science for good. Join us. The world can't wait. You Have: * 2+ years of experience with data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

No Job Number: R0243682 Location: Chantilly,VA,US Share job via: Share Data Scientist The ... Work with us as we use data science for good. Join us. The world can't wait. You Have: * Experience ...

Data Scientist

Suffolk, VA · On-site +1

$77K - $176K/yr

You Have: * 2+ years of experience with artificial intelligence, data science, machine learning ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

This is a part-time, temporary internship for one academic semester. It is designed to give the ... Take on other related assignments appropriate to the intern's experience level. Regardless of the ...

Showing results 21-40

Part Time Data Science Internship No Experience information

What is a part time data science internship with no experience?

A Part Time Data Science Internship with no experience is an entry-level position designed for students or recent graduates who want to gain practical skills in data science while working fewer hours per week than a full-time role. These internships typically provide hands-on training in data analysis, programming, and statistical modeling, often under the guidance of experienced data scientists. They are ideal for individuals looking to build a foundation in data science without requiring prior professional experience in the field.

What types of projects and tasks can I expect to work on during a part time data science internship with no experience?

As a part-time data science intern with no experience, you can expect to be involved in projects that emphasize learning and skill development. Typical responsibilities include cleaning and organizing datasets, conducting exploratory data analysis, assisting with data visualization, and supporting the team in building simple predictive models under supervision. You’ll likely collaborate closely with more experienced data scientists, attend team meetings, and receive guidance on best practices and tools commonly used in the industry. This hands-on exposure is designed to help you build foundational skills in data science and prepare for more advanced roles in the future.

What are the key skills and qualifications needed to thrive as a part time data science intern with no experience, and why are they important?

To thrive as a Part Time Data Science Intern with no experience, you should have a basic understanding of statistics, programming (often Python or R), and data analysis concepts, usually demonstrated through coursework or self-study. Familiarity with tools like Jupyter Notebook, Excel, and introductory knowledge of libraries such as pandas and scikit-learn is beneficial. Eagerness to learn, problem-solving ability, and strong communication skills help you stand out and adapt quickly to new challenges. These foundational skills and qualities enable you to effectively contribute to projects, absorb complex concepts, and collaborate with team members in a professional setting.

What is the difference between Part Time Data Science Internship No Experience vs Part Time Data Analyst No Experience?

AspectPart Time Data Science Internship No ExperiencePart Time Data Analyst No Experience
Required SkillsBasic programming, statistics, data manipulationExcel, data visualization, basic statistics
Work EnvironmentInternship setting, learning-focusedEntry-level role, operational focus
CertificationsNot mandatory, relevant coursework helpfulNot mandatory, relevant coursework helpful
Industry UsageData science teams, tech companies, startupsBusiness analysis, marketing, finance sectors

While both roles are entry-level and suitable for those with no experience, the Data Science Internship emphasizes learning programming and statistical modeling, whereas the Data Analyst role focuses more on data visualization and reporting. The internship is more educational, often offering mentorship, while the analyst position involves supporting business decisions with data analysis.

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For Part Time Data Science Internship No Experience jobs in Virginia, the most frequently searched job titles are:

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What cities in Virginia are hiring for Part Time Data Science Internship No Experience jobs?

Cities in Virginia with the most Part Time Data Science Internship No Experience job openings:

$49K/yr

Full-time, Part-time

Re-posted 16 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER