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Remote Data Science Jobs in New Castle, PA (NOW HIRING)

Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

What are the most commonly searched types of Data Science jobs in New Castle, PA?

The most popular types of Data Science jobs in New Castle, PA are:

What cities near New Castle, PA are hiring for Remote Data Science jobs?

Cities near New Castle, PA with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in New Castle, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Science Associate I

Portage Learning

Beaver Falls, PA • On-site, Remote

$89K - $121K/yr

Full-time

Posted 5 days ago


Job description

Description

Job Title: Data Science Associate I          Date: 08/19/2026                         Position: Full-Time

Reports to: Data Scientist Lead              Department: Data Science        Travel: No

Status: Exempt - Professionals              Compensation: Salary                Remote: No 


Our Mission

The mission of Portage Learning is to transform lives and communities by providing learning opportunities for all who aspire to thrive. We do this not only through superior online instruction but with a deep commitment to expanding access to education. We believe service is the thread that binds our community and our team together. To that end, we choose to ...

  • Believe the best in our employees
  • Invest in our people
  • Collaborate with humility, respect, and appreciation
  • Cultivate curiosity and encourage creativity

A Place Where Creativity and Curiosity Matter

The Data Science Associate I develops analytical solutions that support decision-making across the organization. This role applies statistical analysis, machine learning, and data visualization to translate complex data into actionable insights.


What You'll Invest In:

The Data Scientist will carry out these responsibilities:

  • Collect, clean, integrate, and analyze structured and unstructured data from multiple sources.
  • Conduct exploratory data analysis to identify trends, relationships, anomalies, and opportunities.
  • Develop, evaluate, and refine statistical and machine learning models for organizational use cases.
  • Translate business and educational questions into clear analytical approaches, measures, and deliverables.
  • Create reproducible analyses, visualizations, dashboards, and reports that communicate results effectively.
  • Evaluate model and analytical performance using appropriate metrics, validation methods, and sensitivity checks.
  • Partner with data engineers and analysts to support reliable data pipelines and data-quality controls.
  • Present findings, limitations, and recommendations to technical and nontechnical stakeholders.
  • Document data sources, assumptions, methods, code, model decisions, and findings clearly and accurately.
  •  Contribute to code reviews, testing, version control, and shared analytical standards.
  • Stay current with emerging data science methods, tools, responsible AI practices, and industry trends.
  • Perform other related duties as assigned.

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential function(s).

Requirements

We Believe the Best:

Portage Learning is seeking a candidate who exemplifies our mission, vision, philosophy, and goals.


Required Qualifications:

  • Bachelor's or master's degree in data science, Computer Science, Statistics, or a related field.
  • 0-3 years of professional experience in data science, analytics, or related areas.
  • Demonstrated experience analyzing real-world datasets and presenting actionable insights.
  • Demonstrated experience building and evaluating statistical or machine learning models.
  • Successful completion of a background check and current and/or ability to obtain the following clearances: Child Abuse, State Police, and FBI Fingerprinting.

Preferred Qualifications:

  • A portfolio, work sample, academic research, or comparable evidence of applied data science experience.
  • Strong analytical, statistical, and problem-solving skills.
  • Proficiency in Python or R and working knowledge of SQL.
  • Experience with libraries such as Pandas, NumPy, Scikit-learn, or comparable tools.
  • Working knowledge of statistical inference, experimental design, machine learning, and data modeling.
  • Experience with Tableau or similar visualization tools.
  •  Ability to evaluate data and model quality, recognize limitations, and communicate uncertainty.
  • Familiarity with Git, reproducible workflows, and testing practices.
  • Excellent attention to detail, organization, and documentation skills.
  • Strong written and verbal communication skills, including explaining technical results to varied audiences.
  •  Ability to manage multiple projects and meet deadlines.
  • Ability to work independently and collaboratively within a cross-functional team.

At Portage Learning, we invest in our team members. All employees can grow professionally through our career progression tracks, professional development, and by utilizing our higher education assistance program.


Our inclusive culture drives our mission to transform lives and communities by providing learning opportunities for all who aspire to thrive. For those with a disability, we offer accommodation during the application and hiring process, including support for the interview and onboarding.


Collaborating with a Team that Values Humility, Respect, and Appreciation

Portage Learning operates in a professional, collaborative environment where meaningful relationships and a strong sense of community are valued. We foster a welcoming, team-oriented culture that encourages connection, mutual support, and shared success while maintaining a commitment to professionalism, excellence, and respect in all we do.


This is a full-time position. Portage Learning typically operates Mondays to Fridays, 7 a.m. to 5 p.m. Employee schedules may vary within those hours. All staff members must attend required meetings and training at the office in Chippewa Township, PA.


Portage Learning is an equal-opportunity employer, extending opportunities to all individuals without regard to race, religion, color, sex (including pregnancy, sexual orientation and gender identity), national origin, ancestry, place of birth, disability, handicap, age, genetic information, use of a guide or support animal, or any other status protected under applicable federal, state or local laws. Our policy reflects and accompanies the institution's commitment to the principles of fair employment and the elimination of all discriminatory, harassing, and retaliatory practices.


Travel:

This job may require occasional travel outside of the office and may require an overnight stay. Travel would be primarily local during the business day, which may entail one or more overnight stays. Travel on one or more days of a weekend may occur occasionally.


Other Duties Disclaimer:

This is not an all-inclusive document. Additional duties, expectations, or demands may be added or changed to this document on an as-needed basis in order to meet organizational goals.


Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.