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Entry Level Data Science Jobs in West Virginia (NOW HIRING)

... Sciences (CEGAS) at Marshall University, has an opening for a Research Associate ... We are seeking a motivated and detail-oriented Entry-Level Brownfields Professional to support a ...

Army (Entry-Level, No Experience Needed). Full-time | Part-time | Contract | Paid Training | U.S ... Interest in computer science. * Attention to detail. * Effective communication skills. * Experience ...

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Entry Level Data Science information

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How much do entry level data science jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for entry level data science in West Virginia is $14.75, according to ZipRecruiter salary data. Most workers in this role earn between $12.45 and $16.54 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

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 languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in West Virginia? The most popular types of Data Science jobs in West Virginia are:
What are popular job titles related to Entry Level Data Science jobs in West Virginia? For Entry Level Data Science jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in West Virginia look for? The top searched job categories for Entry Level Data Science jobs in West Virginia are:
Infographic showing various Entry Level Data Science job openings in West Virginia as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $30,680 per year, or $14.8 per hour.

2027 Entry Level Consultant - Forensic & Litigation Consulting

FTI Consulting, Inc.

Charleston, WV

Full-time

Posted 5 days ago


Job description

Who We Are


FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world's top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations.
At FTI Consulting, you'll work side-by side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you'll be an integral part of a focused team where you can make a real impact. You'll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you.
Are you ready to make your impact?

About The Role

Are you an innovative, collaborative, and highly motivated student who is looking to exercise their entrepreneurial spirit in the workplace? FTI Consulting is looking to invest in your future and the future of FTI Consulting by considering you for a full-time Consultant opportunity upon graduation.

Candidates would jumpstart their career with FTI Consulting between July 2027 - September 2027.

What You'll Do

As a Consultant, you will become a member of a project team and work closely with our professionals and senior leaders to meet our clients' needs. We strongly recommend you take time to educate yourself on the Forensic & Litigation Consulting segment, one of our five business segments, as well as the practice areas within Forensic & Litigation Consulting on our Careers Site. While submitting your application, you will have the opportunity to select your practice area and location based on your interests.

The available practices and market locations for this segment are listed below:

  • AI Data & Analytics

    • Location(s): Boston, MA; New York, NY

  • Construction, Projects & Assets

    • Location(s): Atlanta, GA; New York, NY; Pittsburgh, PA; Seattle, WA; Washington, DC

  • Construction, Projects & Assets - Advisory & Transformation

    • Location: Houston, TX

  • Construction, Projects & Assets - Disputes & Advisory

    • Location: Houston, TX

  • Cybersecurity

    • Location(s): New York, NY; Washington, DC

  • Data & Analytics

    • Location(s): Boston, MA; Chicago, IL; Los Angeles, CA; New York, NY; San Francisco, CA; Washington, DC

  • Dispute Advisory Services

    • Location(s): Chicago, IL; Dallas, TX; Houston, TX; Irvine, CA; New York, NY; San Francisco, CA

  • Environmental Solutions

    • Location: Wayne, PA

  • Export Controls, Sanctions, & Trade

    • Location: Chicago, IL

  • Financial Services

    • Location: Washington, DC

  • Healthcare

    • Location(s): Atlanta, GA; New York, NY; Washington, DC

  • Insurance - Actuary

    • Location: New York, NY

  • Risk & Investigations

    • Location(s): Chicago, IL; Houston, TX; New York, NY; Portland, OR; Washington, DC

  • Software Solutions

    • Location: New York, NY

How You'll Grow

We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You will be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth.

As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role.

What You Will Need To Succeed

Basic Qualifications

  • Actively pursuing a full-time bachelor's degree or completing a fifth-year master's program with a graduation date between May 2026 - August 2027.

  • Minimum 3.0 Cumulative GPA

  • Applicants must be authorized to work in the United States on a full-time basis as a full-time employee; this position does not provide visa sponsorship.

  • Ability to travel to clients and FTI Consulting office(s)

Preferred Qualifications

  • Major(s):Accounting, Business, Data Science, Business Analytics, Computer Science, Engineering (Systems, Mechanical, Civil, Industrial), Information Systems, Economics, Finance, Construction Management, Cybersecurity, Environmental Science, Health Sciences, Public Policy, Law, International Relations, Logistics, Supply Chain Management, Healthcare Management, Actuarial Science, Math, Statistics, Physics

Recruiting Process & Timeline

  • Application Process: Apply to your preferred business segment posting (Corporate Finance, Economic Consulting, Technology, Strategic Communications, Forensic & Litigation Consulting). We recommend applying to no more than 2 segment applications.

  • Application Timeline: Please note; candidates who apply by the Priority Deadline of August 28 may receive earlier consideration, depending on team hiring timelines.

    • Applications Open: July 27

    • Priority Deadline: August 28

    • Final Deadline: September 18

  • Pre-Recorded Video Interview: To be fully considered for this opportunity, candidates must complete the Pre-Recorded Video Interview for each application submitted. Candidates should expect to receive an invitation, along with additional details, within 2 business days of submitting their application.

  • Candidate Status: Candidates will be notified of their application status and potential next steps within 1 week of applications closing on September 18.


FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.


Minimum Pay: $68,000


Maximum Pay: $91,000
Compensation Disclosure: The compensation range reflects potential base salary for the role. Actual compensation is determined based on a wide array of relevant factors including market considerations, business needs, and an individual's location, skills, level of experience, and qualifications.