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 ...
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 ...
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 ...
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 ...
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Quick apply
Forward Deployed Data Scientist
Pittsburgh, PA ยท On-site +1
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Forward Deployed Data Scientist
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Remote Data Science Intern information
What is a remote data science intern?
What types of projects does a remote data science intern typically work on, and how do they collaborate with their team?
What are the key skills and qualifications needed to thrive as a remote data science intern, and why are they important?
What is the difference between Remote Data Science Intern vs Remote Data Analyst?
| Aspect | Remote Data Science Intern | Remote Data Analyst |
|---|---|---|
| Required Credentials | Typically pursuing or recently completed a degree in Data Science, Computer Science, or related fields | Often holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools |
| Work Environment | Internship programs, often part-time or project-based, with mentorship | Full-time or part-time remote roles, focusing on data interpretation and reporting |
| Employer & Industry Usage | Used by tech companies, startups, and research institutions for entry-level talent | Common 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:

Senior Data Science Engineer Specialist - Data Scientist
Johnstown, PA โข On-site, Remote
Full-time
Re-posted 14 days ago
Job description
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."
About Concurrent Technologies
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
501 - 1,000 Employees
Headquarters location
Johnstown, PA, US
Year founded
1987