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Remote Data Science R Jobs in Philadelphia, PA (NOW HIRING)

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.

As a Lead Data Analyst, you will partner closely with Data Scientists and cross-functional ... Working knowledge of Python or R for analysis and data wrangling (advanced modeling not required)

R-077611 The Leader will own the strategy and execution of a simplified enterprise-grade data ... Computer Science, Engineering, or related field, or equivalent combination of education and ...

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Remote Data Science R information

See Philadelphia, PA salary details

$37.8K

$123.9K

$198.3K

How much do remote data science r jobs pay per year?

As of May 30, 2026, the average yearly pay for remote data science r in Philadelphia, PA is $123,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,200.00 per year, depending on experience, location, and employer.

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, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

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

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are the most commonly searched types of Data Science R jobs in Philadelphia, PA? The most popular types of Data Science R jobs in Philadelphia, PA are:
What job categories do people searching Remote Data Science R jobs in Philadelphia, PA look for? The top searched job categories for Remote Data Science R jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Data Science R jobs? Cities near Philadelphia, PA with the most Remote Data Science R job openings:
Senior Advisor, Data Science - Medical Cost Trend & Forecasting - Remote

Senior Advisor, Data Science - Medical Cost Trend & Forecasting - Remote

Cigna

Philadelphia, PA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Cigna Healthcare rating

8.3

Company rating: 8.3 out of 10

Based on 215 frontline employees who took The Breakroom Quiz

31st of 864 rated healthcare providers


Job description

Join our Data Science Center of Expertise and help shape the future of healthcare forecasting. In this role, you will drive innovative approaches to medical cost trend forecasting and reserving, improving accuracy and enabling smarter financial decisions. You will work with cross-functional partners to bring advanced analytics to life and strengthen the predictability and stability of our business.

Responsibilities

  • Lead the design and delivery of advanced medical cost forecasting solutions that improve claim reserving and enterprise financial forecasting

  • Prototype and validate new analytical approaches using techniques such as time series modeling, simulation, and machine learning

  • Create diagnostics and performance measures to evaluate forecast accuracy and explain key cost drivers

  • Partner with finance, actuarial, and business teams to translate forecasting needs into actionable analytics solutions

  • Communicate findings through clear insights, presentations, and technical documentation to support decision-making

  • Develop early-warning analytics to identify emerging cost trends and risks

  • Collaborate with data engineering and product teams to ensure scalable and interpretable solutions

  • Contribute to model monitoring, governance, and continuous improvement processes

  • Mentor junior team members and share best practices across the data science community

Qualifications

Required Qualifications

  • 5+ years of experience in data science, analytics, or a related field

  • Strong proficiency in Python, SQL, machine learning, and statistical modeling

  • Hands-on experience with forecasting techniques such as time series analysis, simulation, or scenario modeling

  • Experience working with large datasets using platforms such as Databricks or Spark

  • Ability to communicate complex analytical concepts to technical and business audiences

  • Experience partnering cross-functionally to deliver data-driven solutions

Preferred Qualifications

  • Experience in healthcare payer analytics, including medical cost trend, reserving, or pricing

  • Experience with anomaly detection or advanced statistical techniques

  • Knowledge of model lifecycle management and best practices for reproducible research

  • Demonstrated ability to mentor and guide junior team members


If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 131,200 - 218,600 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here.

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.


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