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Data Science Entry Level Remote Jobs in Virginia

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

BWXT is currently seeking a Engineering Data Scientist for its Lynchburg, VA location with some remote work! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT ...

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

BWXT is currently seeking a Engineering Data Scientist for its Lynchburg, VA location with some remote work! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT ...

Our world class data scientists wring the value from data, and Agile helps us deliver solutions ... for remote work to be determined by the program manager and customer. Essential Functions:

HR Data Engineer

Herndon, VA · On-site +1

$48/hr

Bachelor's Degree in Information Technology, Computer Science, Data Science, Engineering ... Approximately 60% onsite and 40% remote. * Occasional lifting and carrying of equipment or ...

New

Sr Manager - Data Architecture

Richmond, VA · On-site +1

$120K - $195K/yr

... remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama ... Bachelor's degree in computer science, Information Systems, Data Science, Mathematics, or related ...

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Data Science Entry Level Remote information

What are some typical challenges entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

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

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are data science entry level remote jobs?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.
What are the most commonly searched types of Data Science Remote jobs in Virginia? The most popular types of Data Science Remote jobs in Virginia are:
What job categories do people searching Data Science Entry Level Remote jobs in Virginia look for? The top searched job categories for Data Science Entry Level Remote jobs in Virginia are:
Infographic showing various Data Science Entry Level Remote job openings in Virginia as of May 2026, with employment types broken down into 61% Full Time, 28% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Engineering Data Scientist

BWX Technologies

Lynchburg, VA • On-site, Remote

$62K - $97K/yr

Full-time

Posted 21 days ago


BWX Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. Headquartered in Lynchburg, Virginia, BWXT is a Defense News Top 100 manufacturing and engineering innovator that provides safe and effective nuclear solutions for global security, clean energy, environmental restoration, nuclear medicine and space exploration. With more than 7,000 employees, BWXT has 14 major operating sites in the U.S., Canada and the U.K. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental restoration and operations management at a dozen U.S. Department of Energy and NASA facilities. BWXT's technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. For more information, visit www.bwxt.com . Follow us on LinkedIn , X , Facebook and Instagram .
BWXT is currently seeking a Engineering Data Scientist for its Lynchburg, VA location with some remote work!
BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT's Advanced Technologies (AT) group researches, designs, and develops innovative new nuclear reactors, nuclear rocket propulsion systems, and radioisotope production systems for both internal and external customers.
The Advanced Technology (AT) division at BWXT is seeking a Engineering Data Scientist, a motivated engineer or computer scientist with a desire to use data science to help innovate and transform major nuclear products for space applications, clean power, propulsion, and medicine. Your skills in statistical analyses of high volume data, machine learning, machine vision or artificial intelligence will support research and development of new products as well as their production and delivery. This hybrid position is based in Lynchburg, VA with potential for some remote work.
If you are looking for a career where your experience is valued, innovative thinking is fostered, and barrier-free teamwork is embraced every day, then this opportunity is for you.
Job Description / Duties:
The BWXT Engineering Data Scientist is a R&D role that works with design, test and manufacturing engineers to innovate and build multi-modal sensor suites for data acquisition in our new state-of-the-art prototyping facility, producing insights from experimentation. Your data models may also validate or augment physics models to support design, predict quality outcomes, or automate data processes. You will refine one or more of the following skills in the pursuit of innovative R&D and mastery of your art: the generation of data with instrumentation and sensor suite; machine vision for in-situ analysis; Python and C++ for statistical analyses or machine learning algorithms to detect patterns, predict process outcomes, or manipulate physical systems; and create comprehensive digital twins of product.
Job Qualifications / Requirements:
  • This is an innovation role, must be self-starting and comfortable supporting multiple teams, systems and developing products.
  • A Bachelor's degree in a Science or Engineering field (e.g. mechanical, nuclear, electrical, computer) is required, with a concentration in or project experience with data science techniques.
  • A minimum of 2 years of experience is required.
  • Analytical and machine learning programming skills in C++ and Python required.
  • SQL or familiarity with NoSQL storage techniques or data lakes a plus.
  • Skills related to machine vision, and working with sensors or cameras to extract data for near real time analysis is desired.
  • Travel (10-20%) domestic and international is required.
  • Must be a US Citizen with no dual citizenship.
  • Must be able to obtain and maintain a U.S. Department of Energy (DOE) or Department of Defense (DOD) security clearance, whichever is required.

Pay: $ 62000 - $ 97000
The base salary range for this position in Virginia (US-VA) at the start of employment is expected to be between $62000 and $97000 per year. However, the base salary offered is based on local job market factors, and may vary further depending on factors specific to the selected job candidate, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to these considerations, the total compensation package for this position may also include other elements, such as an annual cash incentive in addition to a full range of medical, retirement, and/or other benefits. Details of participation in these benefit plans will be provided at such time the selected job candidate receives an offer of employment. If hired, the selected job candidate will be employed 'at-will,' unless employed at a location and in a position subject to a collective bargaining agreement. The company further reserves the right to modify base salary (as well as any other discretionary payment, compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and other market factors.
As a federal government contractor, BWX Technologies, Inc. and any subsidiaries, affiliates and related entities ("BWXT" or the "Company") complies with all federal, state, and local laws and customer requirements regarding health and safety protocols. As such, all BWXT new hires will be required to adhere to applicable Company health and safety requirements within the workplace as a condition of employment.
Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. Position requires U.S. citizenship with (no dual citizenship) ability to obtain and maintain a Department of Energy (DOE) security clearance which involves an extensive criminal and financial background investigation, drug test and previous employment reference verifications.
BWXT supports diversity and is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company-sponsored training and social recreational programs are administered without regard to race, color religion, gender, national origin, citizenship, age, disability or veteran status.
https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf
https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf
Nearest Major Market: Lynchburg
Nearest Secondary Market: Virginia
Job Segment: Nuclear Engineering, Facilities, R&D Engineer, Nuclear Physics, DoD, Engineering, Operations, Science, Government

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