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

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 New Castle, PA? The most popular types of Data Science jobs in New Castle, PA are:
What job categories do people searching Remote Data Science jobs in New Castle, PA look for? The top searched job categories for Remote 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, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Manager Cyber Fusion Center (Remote)

Pharmacy Data Management, Inc.

Poland, OH • Remote

$113K - $153K/yr

Full-time

Posted 24 days ago


Job description

PDMI is looking to add a Manager, Cyber Fusion Center to our team! The Manager, Cyber Fusion Center (CFC) is a senior cybersecurity leader responsible for building, maturing, and leading a modern cyber defense capability with incident response as a core area of expertise. This role oversees cyber incident response, data breach readiness, SOC operations, security engineering, cloud and product security. The ideal candidate combines deep technical knowledge with strong leadership, communication, and strategy skills to design and operationalize an AI-enabled SOC in partnership with internal teams and external MSSPs, solution providers and other partners.

Since 1984, PDMI has provided pharmacy data processing and other flexible, scalable solutions to help our clients meet their businessobjectives. We offer transparent, pass-through pharmacy processing and other services for private label Pharmacy Benefit Managers (PBMs), vertically integrated healthplansand hospital systems. In addition to Pharmacy Benefit Administrative Services, we offer 340B Administration, Hospice and Long-Term Care Services.

Why Join Us:

  • Best Employer: PDMI was votedBestEmployer in Ohio for the 5th consecutive year in 2025!
  • Meaningful Work: Contribute to improving healthcare quality and efficiency.
  • Collaborative Environment: Work with passionate professionals who share your drive.
  • Exciting Challenges: Every day brings new opportunities to excel.
  • Flexible Work: Fully remote opportunity with a company thatcares.

Key Responsibilities:

  • Lead the strategy, design, implementation, operation and continuous improvement of a Cyber Fusion Center including Security Operations Center (SOC) aligned to business risk and enterprise security objectives.
  • Oversee SOC operations across internal teams and external providers, including MSSPs, and AI-enabled SOC platforms.
  • Serve as the primary leader for cybersecurity incident response, including preparation, detection, triage, containment, eradication, recovery, and post-incident review.
  • Lead or coordinate response to high-severity cybersecurity incidents, data breaches, and crisis events; stand up and run CSIRT activities when needed.
  • Develop, maintain, and test the incident response plan, escalation procedures, and cybersecurity playbooks using frameworks such as MITRE ATT&CK and other industry best practices.
  • Ensure SOC alerts and triage workflows are mapped, prioritized, and tuned using the MITRE ATT&CK framework, cyber threat intelligence, and risks it brings to PDMI.
  • Drive operational excellence in monitoring, detection engineering, threat triage, and response workflows to reduce false positives and improve speed and quality of response.
  • Partner with vulnerability management, security engineering, infrastructure, architecture, product security, risk management, legal, IT operations, and product engineering & owners to improve detection, response, and remediation outcomes.
  • Lead security input into enterprise initiatives involving Microsoft Defender EDR, Entra ID / Active Directory, Penetration Testing, Red & Purple team exercise, Email Security, CSPM/Cloud Security, KnowBe4 and broader security telemetry integration.
  • Establish and track operational metrics and KPIs such as alert fidelity, MTTD, MTTR, incident trends, log ingestion coverage gaps, and control effectiveness.
  • Manage third-party incident response retainers, forensic partners, and external service providers to ensure readiness and effective support during incidents.
  • Plan and facilitate cybersecurity tabletop exercises and simulations with technical teams, executives, and business stakeholders to validate readiness and strengthen decision-making.
  • Provide clear, concise updates to leadership during incidents and communicate cyber risk, trends, and improvement priorities to executive team.

Word & Education Experience Requirements:

  • Bachelor's degree in computer science, cybersecurity, or a related technical field required or equivalent combination of education and experience.
  • 8-10 years of progressive experience in cybersecurity with significant experience in incident response, SOC operations, security engineering, or cyber defense leadership required.
  • Proven experience designing, implementing, or operating SOC and experience in SIEM, SOAR required.
  • Strong hands-on and strategic knowledge of security operations platforms, endpoint detection and response, identity security, vulnerability management, and cloud security required.
  • Experience leading major incident response efforts, coordinating technical and business stakeholders, and managing executive communications during cyber events required.
  • Strong understanding of network protocols, secure system design, logging solutions, and endpoint security required.
  • Proficient in various scripting languages to automate repetitive tasks and streamline security operations required.
  • Experience with industry standards and frameworks (e.g., NIST IR, NIST RMF, MITRE, CIS) required.
  • Security certifications such as CISSP and CISM are preferred.

AIUsage& Candidate Authenticity:

AI tools may be used for resume formatting or drafting application materials; however,submittingcontent that misrepresents yourexperience, includingcopied job descriptions or unverifiable workhistory, isnot acceptable. Candidates must be prepared to clearly and confidently speak to allexperiencelisted. PDMI may request work samples, portfolio links, or other forms of validation during the process. Use of AI tools during interviews or assessments, unless explicitlypermitted, will result in disqualification.

All offers are contingent upon successful completion of a pre-employment background check, including employment and education verification, as well as a 4-panel drug screen.