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Data Science R Jobs in Pennsylvania (NOW HIRING)

Providing thought leadership on data science best practices and emerging technologies to drive ... R. * Excellent problem-solving skills and the ability to manage multiple projects and priorities ...

New

... using R (including Shiny), Python, and SQL; create scripts and pipelines to streamline routine processes. * Apply a broad set of data science techniques - data visualization, pre-processing ...

The Applied Data Scientist r ecommends and implements methodologies appropriate to large scale data analytics, including those commonly involved in large-scale Machine Learning (ML) and Artificial ...

Data Scientist III

Philadelphia, PA · On-site

$110.49K - $115.60K/yr

Focus on solving data science problems such as entity extraction, named-entity recognition, word ... R; and with utilization of database, data manipulation, and visualization tools, such as MySQL ...

Data Scientist III

Philadelphia, PA · On-site +1

$110.49K - $115.60K/yr

Focus on solving data science problems such as entity extraction, named-entity recognition, word ... R; and with utilization of database, data manipulation, and visualization tools, such as MySQL ...

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Data Science R information

What is a Data Science R job?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What are the typical daily tasks for a Data Science R professional in most organizations?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.
What are the most commonly searched types of Data Science R jobs in Pennsylvania? The most popular types of Data Science R jobs in Pennsylvania are:
What are popular job titles related to Data Science R jobs in Pennsylvania? For Data Science R jobs in Pennsylvania, the most frequently searched job titles are:
What cities in Pennsylvania are hiring for Data Science R jobs? Cities in Pennsylvania with the most Data Science R job openings:
Senior Data Scientist

Senior Data Scientist

HealthVerity

Philadelphia, PA

Other

Posted 2 days ago


Job description

Senior Data Scientist 

Symphony Health, a HealthVerity Company, comprises curious thinkers and intellectual problem solvers driving the healthcare data industry forward. We leverage our large, integrated healthcare data repository and our analytic expertise to build customized, agile data solutions which answer the questions our clients -- life science manufacturers, payers, and providers -- have today, as well as those they'll have tomorrow. Together, we can help patients get the right drugs at the right times.

We are currently seeking a Senior Data Scientist to join our diverse and dynamic team. As a Senior Data Scientist at Symphony, you will play a crucial role in leveraging advanced analytical techniques and machine learning models to derive actionable insights from complex data sets. You will contribute to the success of our data-driven initiatives by developing sophisticated models, performing in-depth analyses, and guiding strategic decision-making across the organization.

How you will drive success

  • Designing and implementing advanced data models and algorithms to solve complex business problems and drive strategic insights.
  • Conducting in-depth analyses of large and diverse data sets to uncover patterns, trends, and correlations that inform decision-making.
  • Collaborating with cross-functional teams to understand business needs, translate them into analytical solutions, and communicate findings effectively.
  • Developing and deploying machine learning models and statistical techniques to enhance predictive capabilities and optimize business processes.
  • Providing thought leadership on data science best practices and emerging technologies to drive innovation and continuous improvement.

 

Required skills and experience

  • Advanced degree in a relevant field such as data science, statistics, computer science, or mathematics.
  • Extensive experience in data science, with a strong track record of developing and implementing complex models and analyses.
  • Proficiency in statistical analysis, machine learning techniques, and data visualization tools, with expertise in programming languages such as Python or R.
  • Excellent problem-solving skills and the ability to manage multiple projects and priorities effectively.
  • Outstanding communication and interpersonal skills, with the ability to present complex data insights clearly and collaborate with stakeholders across the organization.

Base salary for the role is commensurate with experience and can range between $130,000 - 160,000 + annual bonus opportunity.