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Remote Data Science Jobs in Pennsylvania (NOW HIRING)

$115K - $173K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... As part of our Geospatial Image and Data Science Division, this highly collaborative team is ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... This effort aims to strengthen the University's leadership in computational and data-driven ...

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

With ICyte, Life Sciences innovators can digitalize their market access operations, freeing up resources to focus on more data-driven decision support. With ICyte, Life Sciences innovators are ...

As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems, focusing on the operationalization and maintenance ...

As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems, focusing on the operationalization and maintenance ...

... remote work. This is a term appointment funded for one year from the date of hire, with an excellent chance for renewal based upon mutual agreement. Requirements A PhD in Computer Science, Data ...

Showing results 41-60

Remote Data Science information

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 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).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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.

What are the most commonly searched types of Data Science jobs in Pennsylvania? The most popular types of Data Science jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Data Science jobs? Cities in Pennsylvania with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Forward Deployed Senior Data Scientist

Air

Pittsburgh, PA • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science & Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description

We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. Your role will involve designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will have the opportunity to expand and grow data-driven research across Govini, leading new areas to apply advanced analytics to drive strategic business and national security results. As part of our team, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem.

In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You’re uber-smart, challenged by figuring things out and producing simple, impactful AI solutions to complex defense problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You’re scrappy. We like scrappy. We need a creative, out-of-the-box thinker who shares our passion and obsession with quality and rapid prototyping/deployment.

This role is a full-time position located out of our office in Arlington, VA, Pittsburgh, PA, or Remote.  This role may require up to 50% travel. Scope of Responsibilities
  • Develop AI/ML/DS systems to address defense problems.
  • Develop new AI-based stack of technologies for particular customer needs.
  • Development of evaluation solutions for AI deployments.
  • Lead the end-to-end execution of AI projects, ensuring alignment with strategic objectives and timely delivery.
  • Work closely with partner teams, including AI research, data engineering, and software development, to deliver robust AI systems.
  • Collaborate with the AI leadership to clearly define product and applications scope, translating high-level requirements into actionable technical plans and delivering AI platforms and solutions.
  • Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem.
  • Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team.
  • Mentor and guide other team members, fostering a culture of technical excellence, continuous learning, and high-impact work.
  • Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.
Qualifications
  • U.S. Citizenship is required
Required Skills: 
  • Oversee the full lifecycle of AI projects within Govini AI ecosystem.
  • Understanding of coding AI (such as Claude Code) and experience how to use it to scale up AI team deliveries
  • Ensure timely project delivery and strategic goal alignment.
  • Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development).  
  • Define robust software architecture for AI systems  and project roadmaps.
  • Translate high-level AI system requirements into actionable technical plans.
  • Deliver production-ready AI solutions integrated with clients data platforms and workflows.
  • Drive the implementation of scalable AI/ML platforms.
  • Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations
  • Champion innovation and best practices across the organization.
  • Mentor and coach team members.
  • Foster a high-performing culture of technical excellence and continuous growth.
  • Demonstrate strong National Security domain knowledge.

Desired Skills: 

  • A strong publication record in the top conferences in one of the AI, ML NLP, decision science areas
  • Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems
  • Experience in LLM posttraining or fine tuning 
  • Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure).
  • Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions
We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.   Govini is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.