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Remote Data Science Intern Jobs in Pennsylvania (NOW HIRING)

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data ... Remote Shift: 1st - Day Valid Driving License: No Hazardous Material(s): N/A Job Posting End Date ...

New

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Science team in the Applied Research Laboratory (ARL) at Penn State. You will aid our research ...

Acts as a liaison between the data science team and other departments. * Understands business needs ... Work is typically performed in an office or remote environment. Accountable for satisfying all job ...

Associate Data Scientist

Philadelphia, PA ยท On-site +1

$59K - $60K/yr

Degree in data science, finance, business, economics, statistics, mathematics, or a related field ... Hybrid and remote work flexibility. * Empowering Values: Live by values that prioritize teamwork ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... This opportunity is ideal for students seeking hands-on experience in research, data science ...

As part of our team, you must be an AI expert with a strong command of data science fundamentals ... Remote. This role may require up to 50% travel. Scope of Responsibilities * Developing new AI ...

As part of our team, you must be an AI expert with a strong command of data science fundamentals ... Remote. This role may require up to 50% travel. Scope of Responsibilities * Developing new AI ...

Showing results 21-40

Remote Data Science Intern information

What is a remote data science intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects does a remote data science intern typically work on, and how do they collaborate with their team?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What are the key skills and qualifications needed to thrive as a remote data science intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the most commonly searched types of Remote Data Science jobs in Pennsylvania?

The most popular types of Remote Data Science jobs in Pennsylvania are:

What are popular job titles related to Remote Data Science Intern jobs in Pennsylvania?

For Remote Data Science Intern jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Intern jobs in Pennsylvania look for?

The top searched job categories for Remote Data Science Intern jobs in Pennsylvania are:

Infographic showing various Remote Data Science Intern job openings in Pennsylvania as of August 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 100% Remote job distribution.

Senior Data Science Engineer Specialist - Data Scientist

Concurrent Technologies Corporation

Johnstown, PA โ€ข On-site, Remote

Full-time

Re-posted 14 days ago


Job description

SR DATA SCIENCE ENGINEER SPEC-DATA SCIENTIST
Concurrent Technologies Corporation
Johnstown, PA or Telecommute
Minimum Clearance Required: N/A
Clearance Level Must Be Able to Obtain: N/A
Employee Background Check Required
Concurrent Technologies Corporation (CTC) an independent, nonprofit applied scientific research and development organization. Is seeking a Sr. Data Science Engineer Spec-Data Scientist, you'll be part of the internal Information Technology team that keeps CTC's business operations running efficiently. Supporting employees across the organization, you'll contribute to a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission. CTC values teamwork, innovation, continuous learning, and exceptional customer service, providing opportunities to expand your technical skills while building a rewarding career with an organization dedicated to making a meaningful impact.
Key Responsibilities:
  • Collaborate with business leaders to identify high-impact business problems and translate them into data science and data analysis projects.
  • Collect, process, and analyze complex datasets from various sources to identify trends, patterns, and insights that inform business strategy.
  • Develop and implement predictive models and machine learning algorithms to solve business problems, such as forecasting, customer segmentation, and optimization.
  • Develop and maintain detailed, compelling dashboards and reports for both technical and non-technical audiences using business intelligence (BI) tools.
  • Perform exploratory data analysis (EDA) and statistical analysis to uncover patterns, trends, and anomalies.
  • Create clear, compelling, and actionable data visualizations and reports to communicate complex findings to both technical and non-technical audiences.
  • Design and execute A/B tests and other experiments to measure the impact of different initiatives.
  • Work with data engineers to build and improve data pipelines, ensuring data quality and accessibility.

Basic Qualifications:
  • Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics.
  • 3-5 years of hands-on experience in a Data Scientist or Senior Data Analyst role.
  • Programming: Strong proficiency in Python (including libraries like Pandas, NumPy, and Scikit-learn), SQL, and PySpark.
  • Statistics and ML: Solid understanding of statistical analysis, data mining techniques, and machine learning algorithms (e.g., classification, regression, clustering, and decision trees).
  • Communication: Excellent verbal and written communication skills with the ability to tell a story with data.
  • Problem-Solving: Proven ability to approach complex problems with a structured, analytical, and inquisitive mindset.

Preferred Qualifications:
  • Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
  • Experience with big data technologies (e.g., Spark, Hadoop).
  • Experience with data visualization and analysis tools (e.g., Tableau, Power BI, Matplotlib, R, SAS).
  • Experience with natural language processing (NLP) or other forms of text analysis.
  • Knowledge of experimental design and causal inference techniques.
  • Experience in research & development, government contracting, and/or highly regulated industry domains.

Why CTC?
  • Our teams at CTC are passionate and thrive on collaboration in a team environment.
  • When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges.
  • Competitive salary and benefits package.
  • Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life.
  • Visit www.ctc.com to learn more!

Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.
https://concurrent-technologies-corporation.breezy.hr/
Staffing Requisition: SR#2026-0087
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law."