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Weekend Data Science R Jobs in Pennsylvania (NOW HIRING)

HealthVerity

Senior Data Scientist

Philadelphia, PA

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

Johnson & Johnson

Sr. Data Scientist

West Chester, PA · On-site

... 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 ...

UHS

Applied Data Scientist

King Of Prussia, PA · On-site

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 ...

RELX Group plc

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 ...

RELX

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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What are the key skills and qualifications needed to thrive as a Weekend Data Science R, and why are they important?

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.
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 cities in Pennsylvania are hiring for Weekend Data Science R jobs? Cities in Pennsylvania with the most Weekend Data Science R job openings:
Weekend Data Science R jobs near you
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.

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