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$188.9K

How much do remote data scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data scientist in Hanover, PA is $117,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,700.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are 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, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

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What are the most commonly searched types of Data Scientist jobs in Hanover, PA?

The most popular types of Data Scientist jobs in Hanover, PA are:

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For Remote Data Scientist jobs in Hanover, PA, the most frequently searched job titles are:

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Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Hanover, PA as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution, with an average salary of $117,984 per year, or $56.7 per hour.

Oracle ERP Financial Reporting Specialist

WellSpan Health

York, PA • Remote

Full-time

Medical, Retirement, PTO

Posted 26 days ago

WellSpan Health rating

7.6

Company rating: 7.6 out of 10

Based on 307 frontline employees who took The Breakroom Quiz

192nd of 898 rated healthcare providers

Job description

General Summary

Provides technical and functional skills to WellSpan Health's system needs for ERP reports. The primarily responsibility of this role is full life cycle reporting, from requirements gathering, development, maintenance through end-user training on the tools to deliver the content. Serves as a subject matter expert on a team of developers championing a standard reporting delivery model encompassing development, documentation, and training across WellSpan's Health ERP system. 

Qualifications
Minimum Education:

  • Bachelor's degree in Information Systems, Computer Science, Accounting, Finance, or related field. Required
  • Master's Degree In Business Administration, Data Science, or related field. Preferred

Work Experience:

  • 1 year Experience reporting within Oracle Fusion Cloud, utilizing Oracle BIP, OTBI, and/or FRS. Required

Courses and Training:

  • One or more certifications in Oracle ERP reporting products. Upon Hire Preferred

Knowledge, Skills, and Abilities:

  • Proficiency in SQL, including writing and troubleshooting complex queries against relational databases
  • Working knowledge of Oracle Fusion subject areas and data structures (Core HR, Recruiting, Talent, GL, AP, and/or Projects preferred)
  • Exposure to Oracle Fusion Data Intelligence (FDI) preferred
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions
  • Excellent written and verbal communication skills
  • Strong documentation and organizational skills

Benefits Offered:

  • Comprehensive health benefits
  • Retirement savings plan
  • Paid time off (PTO)
  • Education assistance
  • Financial education and support, including DailyPay
  • Expanded Paid Parental Leave

For additional details:Benefits & Incentives | WellSpan Careers (joinwellspan.org)

Duties and Responsibilities
Essential Functions:

  • Design, develop, test, and maintain Oracle Fusion Cloud reports and dashboards, including data models, reports, and templates, using BIP, OTBI, FDI, and FRS, based on business requirements
  • Create, modify, and support SQL queries and data extracts to meet reporting and analytical needs
  • Utilize Oracle Fusion subject areas and data structures to build accurate, efficient reports that combine data across multiple modules
  • Support reporting requirements across Oracle Fusion ERP applications, primarily across HCM and Finance, with an initial focus in areas such as Core HR, Recruiting, Talent, General Ledger, Accounts Payable, and Projects
  • Work directly with business users to gather requirements, clarify reporting needs, and deliver timely solutions
  • Troubleshoot report errors, data discrepancies, performance issues, and security-related reporting concerns
  • Assist with administration and maintenance of reporting catalogs, scheduling, bursting, and report security
  • Support Oracle quarterly update testing to ensure reports and analytics continue to function as expected
  • Maintain documentation for report designs, data sources, business requirements, and development standards
  • Participate in report validation, user acceptance testing, and deployment activities
  • Evaluate report enhancement requests and help identify the most effective reporting solution
  • Assist in educating users on available Oracle Fusion reporting tools and capabilities
  • Follow established development standards, change management procedures, and documentation requirements

Common Expectations:

  • Maintain a strong working knowledge of Oracle Fusion ERP applications and reporting tools, staying current on new features and releases
  • Communicate effectively with both technical and non-technical stakeholders
  • Manage multiple report requests and priorities in a fast-paced, deadline-driven environment
  • Exercise sound judgment in balancing report accuracy, performance, and turnaround time
  • Maintain confidentiality and data security standards when working with financial and operational data
  • Collaborate professionally and constructively within a remote/distributed team environment
  • Provides outstanding service to all customers; fosters teamwork; and practices fiscal responsibility through improvement and innovation

Travel Requirements:

  • Estimated Amount: - Occasional travel.

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