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Remote Data Science Jobs in Shavertown, PA (NOW HIRING)

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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.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

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 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.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
More about Remote Data Science jobs
What cities near Shavertown, PA are hiring for Remote Data Science jobs? Cities near Shavertown, PA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Shavertown, PA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
AVP of Data Platform Services Engineering & DevOps

AVP of Data Platform Services Engineering & DevOps

Berkshire Hathaway GUARD Insurance Companies

Wilkes Barre, PA • On-site, Remote

$127K - $313K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

Job description

Good things are happening at Berkshire Hathaway GUARD Insurance Companies—an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, longterm careers.


Good Things You Can Count On.
•  Hybrid schedule: 2 days remote / 3 inoffice
•  Predictable hours (no nights, weekends, or holidays)
•  Competitive pay + generous PTO
•  Medical, dental & vision starting day one
•  401(k), tuition reimbursement & longevity bonuses


Shape, code and scale next-gen data services on cutting-edge DnA Platform!

At Berkshire Hathaway GUARD, we’re not just insuring-we’re innovating. Our Data & Analytics (DnA) organization is at the heart of transforming how we assess risk, serve customers, and shape the future of insurance. We’re seeking AVP of Data Platform Services - Engineering & DevOps to lead the execution of our most strategic data initiatives.
This role will own and drive two core service pillars of our platform:

  1. Data Engineering & Integration Services
    • Enable customers to ingest, transform, and manage data pipelines using Microsoft Fabric workloads (Data Factory, Lakehouse, etc..).
  2. DevOps, CI/CD, MLOps & LLMOps Services
    • Deliver automation and operational excellence for deploying data and AI solutions.
    • Implement CI/CD pipelines for Fabric workloads, manage MLOps for model lifecycle, and establish LLMOps for generative AI solutions.

This is a hands-on leadership role—you will build and maintain code, templates, and technical assets within Microsoft Fabric workloads, while scaling services and leading a team.

What You’ll Do

  • Hands-On Development: Design, build, and maintain reusable code, deployment templates, and automation scripts for Fabric workloads.
  • Service Ownership: Define, manage, and continuously improve Data Engineering and DevOps/MLOps/LLMOps service lines.
  • Customer Success: Partner with colleagues in the platform and as well as the domain senior engineers to deliver tailored solutions and ensure adoption of best practices.
  • Team Leadership: Mentor a team of engineers and architects.
  • Innovation: Drive automation, governance, and operational excellence across services.
  • Collaboration: Align services with Platform product roadmap and work closely with Domain Success teams.

 

KPIs & Success Metrics

  • Service Delivery: 95%+ on-time delivery of service features and enhancement requests.
  • Automation Coverage: 90%+ of deployments automated via CI/CD pipelines.
  • Customer Satisfaction: Maintain CSAT score of 4.5+/5 for service engagements.
  • Operational Efficiency: Reduce deployment cycle time by 50% within 12 months.
  • Innovation Impact: Launch at least 2 new automation or optimization features per quarter.

The successful candidate is expected to work in one of our offices 3 days per week and also be available for travel as required.

The annual base salary range posted represents a broad range of salaries around the U.S. and is subject to many factors including but not limited to credentials, education, experience, geographic location, job responsibilities, performance, skills and/or training.

Qualifications

  • Experience: 10+ years in data engineering, DevOps, or platform services; 5+ years in leadership roles.
  • Expertise: Strong knowledge of Microsoft Fabric, Azure DevOps, CI/CD, MLOps frameworks, and modern data architectures.
  • Hands-On Skills: Proficiency in Python, SQL, PowerShell, and Fabric APIs.
  • Leadership: Proven ability to scale teams and deliver enterprise-grade solutions.
  • Strategic Thinking: Ability to translate business objectives into technical solutions and service offerings.
  • Strong mentoring and communication skills
  • Insurance industry experience preferred
  • Bonus: Experience with data product or AI product delivery and data mesh models

Salary Range $127,053-$313,842.10 + bonus 

In accordance with applicable pay transparency laws, this range represents a good-faith estimate. Final compensation will be determined based on factors such as experience, credentials, geographic location, and other considerations permitted by law.

This role may be based out of any of our office locations, including:

New York, NY; Parsippany, NJ; Conshohocken, PA; WilkesBarre, PA; Alpharetta, GA; Rosemont, IL; Plano, TX; Scottsdale, AZ 

Applicants must be authorized to work in the U.S. without current or future sponsorship.

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