ZipRecruiter

Log In

3

Data Science Entry Level Remote Jobs in Pittsburgh, PA

Eaton

Application & System Reliability Engineer

PA · On-site +1

$97K - $123K/yr

This is a remote position where candidates must reside within the United States to be considered ... S. power distribution and data center market • Problem-solving skills • Effective communication ...

OpenLiteracy

Reading Tutor Pool

Pittsburgh, PA · Remote

$28/hr

Reading Tutor - OpenLiteracy (POOL) Talent Pool Application | Remote | Part-time Contract (1099 ... Strong grounding in the Science of Reading: phonics, structured literacy, fluency, vocabulary, and ...

previous page

Showing results 41-60

All JobsData Science JobsData Science Entry Level Remote JobsData Science Entry Level Remote Jobs in Pittsburgh, PA

Data Science Entry Level Remote information

What challenges do 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 skills and qualifications are needed to thrive as an entry-level remote data scientist?

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 is a data science entry level remote job?

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 popular job titles related to Data Science Entry Level Remote jobs in Pittsburgh, PA? For Data Science Entry Level Remote jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Data Science Entry Level Remote jobs in Pittsburgh, PA look for? The top searched job categories for Data Science Entry Level Remote jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Data Science Entry Level Remote jobs? Cities near Pittsburgh, PA with the most Data Science Entry Level Remote job openings:
Data Science Entry Level Remote jobs near you
Infographic showing various Data Science Entry Level Remote job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 7% Internship, 66% Full Time, 16% Part Time, 3% Temporary, and 8% Contract. Highlights an 100% Remote job distribution.

OnCore Analyst II Sponsored Research

System One

Pittsburgh, PA • Remote

Other

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Job description

Job Title: OnCore Analyst II Sponsored Research Location: Pittsburgh, PA Type: Direct Hire Work Model: Hybrid – onsite and remote

Overview Under the direction of the Senior OnCore Administrator, this technical position contributes to the configuration, implementation, maintenance, and optimization of the Clinical Trial Management System (OnCore) and related ancillary platforms. As an integral member of the OnCore team, the role blends technical expertise with collaborative engagement to ensure system integrity, enhance user experience, and support the evolving needs of clinical research. Please note that this position is in-office three days per week.

Responsibilities

  • Contribute to the configuration, implementation, maintenance, and optimization of the Clinical Trial Management System (OnCore) and related platforms.
  • Build and configure system applications tailored to operational and research needs.
  • Complete initial setup and ensure alignment with organizational goals.
  • Support ongoing system enhancements and integrations.
  • Monitor system outputs to detect errors and maintain data integrity.
  • Perform data entry, collection, cleaning, and query resolution.
  • Evaluate upgrade impacts and contribute to platform improvement strategies.
  • Assist with OnCore functionality and usability improvements.
  • Support help desk operations for issue resolution and user inquiries.
  • Work closely with internal and external stakeholders including Finance, Clinical Research, Health System, Project Managers, Vendors, and Consultants.
  • Ensure deadlines, goals, and schedules are met efficiently.
  • Develop, maintain, and update reports to support data analysis, operational workflows, and research reporting needs.
  • Additional Duties as assigned.
Requirements
  • Bachelor’s degree in a related field or equivalent experience required.
  • A minimum of 2 years of OnCore CTMS backend/build experience is required.
  • Experience in tableau, jasper, sql, or equivalent systems required.
  • Experience in clinical trial or research-related fields required.
  • Strong organizational and time management skills.
  • Ability to work both independently and as part of a team.
  • Experience providing technical support to customers.
  • Software implementation experience preferred.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M-3 #LI-MD2 Ref: #558-Scientific