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Data Science Entry Level Remote Jobs in Philadelphia, PA

Remote Optional Job Number: 515 Department: Data Science - (College of Health and Sciences) Opening Date: 01/25/2024 Join our vibrant community of dedicated faculty and staff who work to create a ...

AI Adoption Specialist

Wilmington, DE ยท On-site +1

$35 - $45/hr

... data science, analytics, automation, or AI. Eligibility Requirements The preferred work location for this role is at the GEH Headquarters in Wilmington, NC; but highly qualified (US based) remote ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

AI Engineer, Industrial

Wilmington, DE ยท On-site +1

$67K - $91K/yr

Collaborate across data science, engineering, digital technology, operations, and business teams to ... Remote-based working model with meaningful collaboration across global teams and regular travel for ...

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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 Philadelphia, PA? The most popular types of Data Science Remote jobs in Philadelphia, PA are:
What are popular job titles related to Data Science Entry Level Remote jobs in Philadelphia, PA? For Data Science Entry Level Remote jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Data Science Entry Level Remote jobs in Philadelphia, PA look for? The top searched job categories for Data Science Entry Level Remote jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Data Science Entry Level Remote jobs? Cities near Philadelphia, PA with the most Data Science Entry Level Remote job openings:
Infographic showing various Data Science Entry Level Remote job openings in Philadelphia, PA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Adjunct Faculty- Data Science

Adjunct Faculty- Data Science

Eastern University

PA โ€ข On-site, Remote

Part-time

Medical, Life, Retirement, PTO

Posted 23 days ago


Job description

Location : St. Davids
Job Type: Adjunct Faculty
Remote Employment: Remote Optional
Job Number: 515
Department: Data Science - (College of Health and Sciences)
Opening Date: 01/25/2024
Join our vibrant community of dedicated faculty and staff who work to create a transformative educational experience rooted in faith, reason, and justice.
Eastern University is a nationally-recognized Christian university enrolling approximately 9,000 students in a wide array of undergraduate, graduate, professional, and seminary programs. The university's main campus is located in St. Davids, PA, with many programs also offered online. Eastern's core values of Faith, Reason, and Justice are woven into all of its educational offerings. Through dynamic programs, a vibrant campus community, and meaningful service learning opportunities, Eastern University is committed to providing students with transformative, accessible, and affordable education.
Position Description
Eastern University, a Christian university of humanities, health, arts and natural and social sciences, invites applications for an adjunct instructor of Data Science. Positions are available for both on-ground synchronous and online asynchronous instruction. This position can be remote.
We seek instructors for courses including material in the following areas:
  • Python
  • R and Tidyverse
  • Databases and database management with SQL
  • Business analytics
  • Introductory statistics
  • Intermediate statistics
  • Machine learning
  • Data visualization
  • Data manipulation

Qualifications
Preferred applicants will have a M.S. or Ph.D. in Computer Science, Mathematics, Data Science, Business Analytics, or related field, and experience teaching at the college/university level.
Supplemental Information
To apply, applicants must submit a cover letter to include a brief statement of their faith, curriculum vitae, unofficial copies of graduate transcripts, and three current professional references.
About Eastern University
Eastern University is a Christian university of the arts and sciences that integrates faith, reason and justice for students in its undergraduate, graduate, seminary, urban, professional and international programs. Applicants should have a Christian commitment compatible with its mission and be willing to support the mission and vision of the university. The university complies with federal and state guidelines of nondiscrimination in employment; members of protected classes encouraged to apply.
Background Checks
Standard University employees are required to complete the background clearance process. Employment is contingent upon the successful results of an employment background screening. The employment background screening may include but is not limited to your consumer credit history (for positions that work with the university finances or alumni funds only), verification of education and professional credentials, criminal history, driving history, residency, immigration status, performance, references, and other qualities pertinent to your qualifications for the following position.
Youth Clearances are required for positions with direct contact with children and essential personnel positions. Employees working with or around minor age children are required to complete the youth clearance process which includes the following four child protection clearances:
1) Affidavit;
2) FBI Criminal Record Check;
3) Pennsylvania Department of Human Services Child Abuse History Clearance and;
4) Pennsylvania State Police Criminal Record Check.
In accordance with state laws, Act 73 of 2007, Act 153 of 2014, Act 168 (relating to the Child Protective Services Law), school employees of Eastern University who will have "direct contact with children" must complete the background check process prior to employment. Results must be submitted within ten days of receipt.
Description Disclaimer
This description is intended to describe the general level and nature of work performed by the person/people assigned to this position. It is not to be construed as an exhaustive list of duties and responsibilities of the person/people so assigned.
For all positions: Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Statement of Non-Discrimination
Eastern University is committed to the principles of equal opportunity as defined under federal and state law, and does not discriminate unlawfully on the basis of race, gender, sexual orientation, color, creed, disability, national/ethnic origin, age, disabled veteran/Vietnam-era, Genetic Information and Nondiscrimination Act (GINA), or veteran status in its admission policy, program, or activities, educational policies, scholarship and loan programs, athletic and other University-administered programs, or employment practices and programs.
We offer a complete benefits package to full-time faculty and staff including healthcare coverage, retirement plan contributions, flexible spending and health savings accounts, life insurance, long-term and short-term disability, tuition remission and tuition exchange participation as well as an extensive holiday, summer hours and paid time off leave schedule.
Part-time Regular staff who are scheduled 30-36 hours per week over the course of a year, receive a full benefit package based on their part-time scheduled hours. Healthcare coverage is based on the ACA medical coverage guidelines. Affiliate faculty receive a benefit package as outlined with their covenant. Adjunct faculty may be eligible for medical coverage under the ACA after an annual one year lookback review.
Part-time staff who are scheduled to work less than 30 hours per week schedule are eligible for employer contribution towards the retirement plan after one year of employment. Eligibility rules apply. Adjunct faculty may make employee deferral contributions towards the retirement plan.
Part-Time Graduate Assistant Coaches are eligible for participation in the Tuition Remission Coaches Program.
Temporary, Contractors and Seasonal Employees: Individuals in this status are scheduled on an as-needed-basis and are not eligible for participation in the University's benefits programs.
Detailed information regarding our benefits program and eligibility is provided once hired or you can contact Human Resources with any questions.