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Weekend Data Science R Jobs in Chalfont, PA (NOW HIRING)

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 Science or Machine Learning role. • 5+ Years of Experience Proficiency in programming languages such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning ...

New

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 ...

... R, Scala, or equivalent; Spark, Hadoop file system and others (15%) • Access and analyze data ... Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or ...

Applies modern and emerging data science techniques to solve business problems across functions ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...

Applies modern and emerging data science techniques to solve business problems across functions ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...

Applies modern and emerging data science techniques to solve business problems across functions ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...

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Showing results 1-20

Weekend Data Science R information

See Chalfont, PA salary details

$36.3K

$118.7K

$190.1K

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

As of May 31, 2026, the average yearly pay for weekend data science r in Chalfont, PA is $118,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $131,500.00 per year, depending on experience, location, and employer.

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.

Marketing Data Science Specialist

superiorplus

Wayne, PA • On-site, Remote

Other

Retirement

Posted 4 days ago


Job description

Superior Propane is looking for an experienced Marketing Data Science Specialist with a strong career focus on data-driven problem-solving and collaboration. In this role (with room to grow), you’ll spend about 80% of your time working hands-on with data—designing and applying advanced analytics, AI, and predictive modeling to unearth insights for our marketing and customer-centric strategies. The remaining 20% will focus on stakeholder engagement: presenting clear, direct findings to various departments, directors, and occasionally senior leadership. If you thrive on detailed execution, can pivot quickly to solve real business problems, and enjoy guiding decision-makers with strategic storytelling, this could be your ideal fit.

Why join us:

Culture: Join a supportive and inclusive work environment where collaboration, respect, and open communication are at the core of everything we do.

Competitive Compensation: We offer highly competitive compensation and a total rewards package, ensuring that your hard work and dedication are recognized and rewarded accordingly.

Flexibility: We understand the importance of work-life balance and offer various flexible schedules to help you manage your personal and professional commitments effectively.

Technology: Work with state-of-the-art tools and technologies that empower you to excel in your role and stay at the forefront of industry trends.

Employee Assistance Programs: We care about you! You and your family will have access to LYRA, an industry leading platform that provides comprehensive support and a myriad of resources to help support your physical, mental, financial and social well-being.

Opportunity: A continuous focus on professional development with many opportunities for training & career growth.

Safety Focused: We care about you and have developed a 24/7 safety mindset that is showcased throughout every facet of the organization.

What you’ll do:

  • Advanced Analytics Projects: Lead at least one advanced analytics initiative in your first 6–12 months, applying predictive models or AI techniques to drive immediate, actionable insights.
  • Business Collaboration & Awareness: Partner closely with various stakeholders (Marketing, BI, IS), and other cross-functional groups to understand business challenges and uncover data-driven solutions.
  • Data Storytelling & Presentation: Transform complex analyses into compelling, concise narratives for both technical and non-technical audiences. Communicate results directly focusing on outcomes over process.
  • Customer Sentiment & Retention Insights: Own or influence metrics around customer sentiment, retention, and marketing strategy (e.g., segmentation, sentiment analysis, profile building).
  • Test-and-Learn Environment: Embrace a “problem solver” mindset: run experiments, refine approaches, and continually enhance business impact through iterative learning.
  • Process Expertise & Execution: Employ established analytics processes (data ingestion, cleaning, modeling) to efficiently deliver results while maintaining high data quality.
  • NA Collaboration: Operate effectively with a geographically dispersed team; coordinating project timelines, sharing updates, and ensuring all stakeholders remain engaged and informed.

What you bring:

  • A bachelor’s degree (or demonstrated hands on experience) in Data Science, Statistics, Social Sciences, Computer Science, Marketing, or a related field is preferred.
  • Professional courses or certification in advanced analytics, marketing analytics, or AI/ML tools would be an asset
  • Solid experience (minimum 3 years) working with analytics or big data, particularly around customer behavior, segmentation, or strategic marketing.
  • Proficiency in programming languages including SAS, Python, R, and/or SQL and data visualization tools such as Power BI, Tableau or Looker.
  • Familiarity with AI tools and the application of machine learning models (without needing to engineer deep ML solutions from scratch).
  • Ability to roll up your sleeves to handle data end-to-end, with the abilty to see the bigger picture purpose and scope of the project, and craft a strategic approach.
  • Curious and adept at quickly diagnosing business needs, using data creatively, and delivering immediate results.
  • Skilled at presenting outcomes in a straightforward, direct manner, making complex analytics understandable to non-technical colleagues.
  • Enjoy working with various teams (Marketing, BI, IS, Finance, Sales) to refine processes, spark innovation, and achieve mutual shared goals.
  • Organized, self-driven, and comfortable collaborating with stakeholders virtually
  • Legal Authorization to work in the US is required. We will not sponsor individuals for employment visas now or in the future for this job opening.

Why Join Us?

  • Immediate Impact: Contribute to high-visibility analytics initiatives that directly influence customer sentiment, retention, and strategic marketing.
  • Growth Potential: As a mid-level role, this position offers the chance to evolve your career path, refine your skill set, and establish yourself as a leader in analytics-driven marketing.
  • Collaborative Culture: You’ll work cross-functionally with talented peers, refining ideas in a test-and-learn environment that values experimentation and swift problem-solving.

Salary: $85,000 - $105,000 annually (based on skills, experience, qualifications, and geography).

Eligible employees may earn performance-based incentives and have access to comprehensive benefits and retirement plans with matching contributions.

This posting is a replacement for an existing vacancy. We do not use AI tools in the selection process and do not request pay history.