2

Remote Data Jobs in York, PA (NOW HIRING)

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

Data Engineer Job

Lancaster, PA · On-site +1

$125K - $145K/yr

Armstrong is seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that enable advanced analytics, AI, and data-driven decision-making across the ...

New

Data Engineer Job

Lancaster, PA · On-site +1

$125K - $145K/yr

Data Modeling and Data Lakehouse Development: Design and implement efficient, scalable data models to support analytics, reporting, and machine learning initiatives. * Data Architecture and ...

New

Data Engineer Job

Lancaster, PA · On-site +1

$125K - $145K/yr

Armstrong is seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that enable advanced analytics, AI, and data-driven decision-making across the ...

New

Senior BI Engineer, Data

Lititz, PA · On-site +1

$98K - $133K/yr

We transform billions of data points across marketing, supply chain, operations, and customer ... Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ...

Data Delivery Senior Engineer

PA · Remote

$101K - $169K/yr

Overview This is a full-time career opportunity that can be remote. Must have the ability to travel ... Mentor and guide fellow data engineers. Responsibilities * Design, develop, test and implement ...

next page

Showing results 1-20

Remote Data information

See York, PA salary details

$45.3K

$162.4K

$239.6K

How much do remote data jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data in York, PA is $162,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,400.00 and $167,300.00 per year, depending on experience, location, and employer.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from a home or remote location. These roles typically require basic computer skills, attention to detail, and often use tools like spreadsheets or data management software. They are commonly offered as part-time or flexible schedules and are suitable for individuals seeking remote work opportunities.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible positions, suitable for individuals seeking remote work opportunities.

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

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

What are popular job titles related to Remote Data jobs in York, PA?

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

What cities near York, PA are hiring for Remote Data jobs?

Cities near York, PA with the most Remote Data job openings:

Infographic showing various Remote Data job openings in York, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $162,406 per year, or $78.1 per hour.

Sr Data Scientist

WebstaurantStore

Lititz, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


WebstaurantStore rating

8.0

Company rating: 8.0 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

120th of 423 rated retail wholesalers


Job description

Job Summary

Webstaurant Store, the world’s largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for supplying statistical rigor to the organization’s analytics projects, aimed at discovering actionable insights and opportunities for growth and optimization.

This role can be remote in some US states (See below for remote work requirements) or based in one of our offices (Lititz, PA or Tampa, FL).

Responsibilities

Responsibilities include, but are not limited to:

  • Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization.
  • Collaborating with our analytics engineers to gather the right information from various sources so that you can implement advanced statistical methodologies and design interventions to optimize our business performance.
  • Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive).
  • Partnering with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions.
  • Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy.
  • Work with other data scientists to design and implement experiments and glean actionable insights from experimental analyses. 
  • Defend and explain the validity of predictive/ML models to those without a background in data science or statistics.
  • Actively research new tools and technologies, staying on top of analytics news and best practices.
Physical Requirements
  • Work is performed while sitting/standing and interfacing with a personal computer.
  • Requires the ability to communicate effectively using speech, vision, and hearing.
  • Requires the regular use of hands for simple grasping and fine manipulations.
  • Requires occasional bending, squatting, crawling, climbing, and reaching.
  • Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.
Remote Work Qualifications
  • Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.
  • Access to a home router and modem.
  • A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).
  • A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.
  • The desire and ability to work and communicate with other team members via chat, webcam, etc.
  • Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY). H-1B Visa Sponsorship Not Available, W2 only.
Experience
  • Minimum 5 years of work experience in Data Science, or a PhD in math, statistics, economics, or a modeling-related field.
  • Advanced Python and SQL skills.
  • You have a proven ability with statistical methods and advanced modelling techniques; extra points if you have experience with one or more of the following: ecommerce search, recommendation engines, dynamic pricing, or user matching/data cleanrooms.
Education

This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.

Desired Traits & Skills

The ideal candidate will possess the following qualities:  

  • You Communicate Effectively: Ability to explain ideas simply and confidently to team members both written and verbally.  
  • You have an Entrepreneurial Spirit: Takes it upon themselves to find ways to add value to the team and business. They are self-motivated and creative in their quest to find actionable insights and new solutions. They can often be found saying “What if we tried this?” or “Maybe this is a better way to do it?” They have a knack for overcoming obstacles. 
  • You Desire to Grow: Constantly seek to improve themselves and expand their professional knowledge and skill set. 
  • You’re an inquisitive, out-of-the box thinker who’s continually on the lookout for opportunities to improve and innovate data science solutions.
  • You have consistently high standards; your passion for quality is inherent in everything that you do.
  • Familiarity with a variety of supervised/unsupervised/reinforcement learning methods.
  • Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects.
  • You have proven ability as a full stack data scientist who develops, experiments, optimizes, and scales models for the production environment.
  • You connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose.
Company Overview

The foodservice professional’s premier source for restaurant equipment, supplies, and knowledge online. Our purpose is to empower and equip people to run their businesses more profitably and efficiently.

Benefits
  • Medical
  • Vision
  • Dental
  • PTO
  • Paid Maternity Leave
  • Paid Parental Leave
  • Life Insurance
  • Disability
  • Dependent Care FSA
  • 401(k) matching
  • Employee Assistance Program
  • Wellness Incentives
  • Company Discounts
  • AT&T & Verizon Discount
  • Bonus Opportunities
  • Accident Insurance
  • Critical Illness Insurance
  • Adoption Assistance
Available at HQ Locations Only
  • On-Site Fitness Centers
  • Dog-friendly Offices

What WebstaurantStore employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom