ZipRecruiter

Log In

2

Data Scientist R Remote Jobs in Pennsylvania (NOW HIRING)

Novacore

Data Scientist

Conshohocken, PA · On-site +1

Data ScientistThe Data Scientist will work closely with underwriting, product, operations, and ... Strong proficiency in Python and/or R for statistical analysis and model development. * Advanced ...

WebstaurantStore

Sr Data Scientist

Lititz, PA · On-site +1

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

WebstaurantStore

Data Scientist - Marketing

Lititz, PA · On-site +1

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

WebstaurantStore

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

RELX

Data Scientist III

Philadelphia, PA · On-site +1

$110.49K - $115.60K/yr

Support our Data Sciences team within Health Content Operations and work with the Clinical ... R; and with utilization of database, data manipulation, and visualization tools, such as MySQL ...

WebstaurantStore

Data Scientist - Pricing

Lititz, PA · On-site +1

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The Data Scientist will be responsible for developing innovative computational approaches to ...

next page

Showing results 1-20

People also search for

All JobsData Scientist R Remote JobsData Scientist R Remote Jobs in Pennsylvania

Data Scientist R Remote information

What are the key skills and qualifications needed to thrive as a Data Scientist (R, Remote), and why are they important?

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

How does a remote Data Scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

What are Data Scientist R Remote jobs?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

What is the difference between Data Scientist R Remote vs Data Analyst R Remote?

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What are popular job titles related to Data Scientist R Remote jobs in Pennsylvania? For Data Scientist R Remote jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Pennsylvania look for? The top searched job categories for Data Scientist R Remote jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Data Scientist R Remote jobs? Cities in Pennsylvania with the most Data Scientist R Remote job openings:
Data Scientist R Remote jobs near you

Data Scientist

Novacore

Conshohocken, PA • On-site, Remote

Other

Posted 28 days ago

Job description


Why join the Novacoreteam?Because your next stellar chapter starts here - and we're building something bold and meaningful.

At Novacore, we're not your average insurance company. We're a team of driven professionals passionate about redefining the specialty insurance experience for our agents, carrier partners - and for each other.

We specialize in tailored solutions for niche industries, powered by advanced analytics, modern technology and a culture of innovation. Backed by strong leadership and strategic growth initiatives, Novacore is poised to scale and lead in the specialty insurance market.

But at our core, we believe it's not just what we do - it's how we do it and who we do it with.

Recognized as a top workplace, Novacore is a place where ambition is supported, growth is continuous and culture matters. From day one, you'll find mentorship, hands-on learning and clear paths for advancement. You'll grow your skills, expand your expertise and become even more exceptional - because when you succeed, we all do.

We offer:

  • A collaborative, results-driven environment

  • Competitive compensation and comprehensive benefits

  • Year-round social and community events

  • Ongoing mentorship and professional development

  • Endless opportunities for upward mobility

So if you're ready to be part of something extraordinary - with a team that's transforming commercial insurance - we want to meet you.

Data ScientistThe Data Scientist will work closely with underwriting, product, operations, and leadership teams and expected to own problems end-to-end. The Data Scientist will operate with a high degree of independence while collaborating closely with cross-functional stakeholders. This role draws on the type of work seen across the broader insurance ecosystem. This role will report to the SVP, Data & AI. This position is ideally hybrid from the Conshohocken, PA Home Office.Responsibilities:

Underwriting & Risk Analytics

  • Analyze submission, bind, and quote data to identify trends in hit ratio, declination patterns, and appetite alignment.
  • Support pricing analysis and adequacy reviews in collaboration with actuarial resources or carrier partners, using exposure-normalized loss data.

Product & Growth Analytics

  • Partner with product and distribution teams to build funnel analytics, conversion models, and cohort analysis.
  • Develop customer lifetime value (LTV) and retention models to support renewal strategy and identify at-risk accounts before they lapse.
  • Analyze distribution partner performance data to identify growth opportunities, cross-sell potential, and capacity allocation priorities.

Data Engineering & Infrastructure

  • Partner with engineering and IT to build and maintain reliable data pipelines from multiple sources including policy admin systems, claims platforms, and third-party data enrichment providers (e.g., LexisNexis, Verisk, CoreLogic).
  • Ensure data quality, governance, and documentation standards are upheld across all analytical datasets.
  • Contribute to the buildout of a scalable analytics infrastructure, including data warehouse design and BI tooling integration.

Reporting & Stakeholder Communication

  • Design and maintain dashboards and self-service reporting tools that give underwriting, operations, and leadership teams real-time visibility into KPIs.
  • Translate complex quantitative findings into plain-language narratives for non-technical audiences including underwriters, distribution partners, and executive leadership.
  • Prepare regular performance reports for capacity providers and carrier partners, ensuring data accuracy and consistency across all external reporting.
  • Develop self-service reporting tools and dashboards using BI platforms.
Qualifications:
  • 3+ years of experience in a data science, analytics, or quantitative research role - experience in the P&C insurance space (carrier, MGA, broker, or insurtech) strongly preferred.
  • Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Actuarial Science, or Economics); Masters degree is a plus.
  • Strong proficiency in Python and/or R for statistical analysis and model development.
  • Advanced SQL skills and proven ability to work with large, complex relational datasets across multiple source systems.
  • Hands-on experience building and deploying predictive models beyond proof-of-concept - including documentation, monitoring, and stakeholder handoff.
  • Working knowledge of core P&C insurance concepts: premium, loss ratio, combined ratio, and policy lifecycle.
Preferred Qualifications:
  • Prior experience at a P&C Insurance, MGA, program administrator, or insurtech in a data or analytics role - exposure to an MGA-specific data environment (policy admin, bordereaux reporting, capacity provider data requirements) is a meaningful differentiator.
  • Experience building AI/ML-powered features in a production insurance product context, including prompt engineering or LLM integration for document processing or underwriting support.

Apply