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Remote Science Jobs in Lancaster, PA (NOW HIRING)

... Science team. The Data Scientists are responsible for supplying statistical rigor to the ... 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

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

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

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

Bachelor's degree in a technical field (e.g., Computer Science, Information Systems, Cybersecurity). * 5+ years of experience in Information Security, with at least 3 years focused on application ...

Partner closely with data science, engineering, and marketing leadership to align priorities ... Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ...

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Showing results 1-20

Remote Science information

See Lancaster, PA salary details

$23.8K

$47K

$76.8K

How much do remote science jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote science in Lancaster, PA is $47,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,400.00 and $50,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

How to make $1000 a week remote?

Remote science jobs such as research analyst, data scientist, or laboratory technician can pay $1000 or more weekly, especially with specialized skills, certifications, or experience. Earning this amount often requires consistent work, advanced knowledge in the field, and proficiency with tools like statistical software or laboratory equipment.

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

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What jobs pay $500,000 a year in the US?

In the field of remote science roles, high-paying positions such as senior research scientists, data science directors, or chief scientific officers can reach or exceed $500,000 annually, especially in industries like pharmaceuticals, biotechnology, or tech companies. These roles typically require advanced degrees, extensive experience, and strong expertise in data analysis, laboratory management, or scientific strategy. Compensation often includes base salary, bonuses, and stock options, particularly in large organizations or startups with significant funding.

What are remote science jobs?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

How can I make $100,000 a year working from home?

Remote science roles such as data scientists, research analysts, or scientific consultants can reach a $100,000 annual salary by gaining advanced degrees, developing specialized skills, and building a strong portfolio. These positions often require proficiency in programming, statistical tools, and industry-specific knowledge, and may involve freelance consulting or working for established organizations remotely.

What are the key skills and qualifications needed to thrive as a Remote Science professional, and why are they important?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What science jobs are remote?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and scientific writers. These positions often require skills in data analysis, scientific software, and strong communication, and may involve collaboration through virtual tools and platforms.
What are the most commonly searched types of Science jobs in Lancaster, PA? The most popular types of Science jobs in Lancaster, PA are:
What are popular job titles related to Remote Science jobs in Lancaster, PA? For Remote Science jobs in Lancaster, PA, the most frequently searched job titles are:
What job categories do people searching Remote Science jobs in Lancaster, PA look for? The top searched job categories for Remote Science jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Remote Science jobs? Cities near Lancaster, PA with the most Remote Science job openings:
Infographic showing various Remote Science job openings in Lancaster, PA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $47,028 per year, or $22.6 per hour.
Data Scientist - Marketing

Data Scientist - Marketing

WebstaurantStore

Lititz, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


WebstaurantStore rating

8.0

Company rating: 8.0 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

105th of 399 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).
  • Maintaining and updating our in-house Media Mix Models (MMM) and Multi-Touch Attribution (MTA) models to ensure they reflect the current state of marketing spend and value
  • Designing, implementing, and analyzing lift / blackout / other experiments to continually improve our attribution models
  • Partnering with business and technical stakeholders, including our Google account team, to translate complex retail challenges into 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 2 years of professional experience in Data Science, or a PhD in mathematics, statistics, economics, or a related quantitative field.
  • Advanced proficiency in Python and SQL, with strong foundation in statistical methods and advanced modeling techniques applied to marketing and growth problems.
  • Hands-on experience with experimentation and causal inference frameworks, including incrementality testing, geo experiments, holdout designs, or quasi-experimental methods.
  • Proven ability to partner with paid marketing teams to design, execute, and analyze experiments that inform budget allocation and channel strategy.
  • Experience building, evaluating, or refining Media Mix Models (MMM) and/or Multi-Touch Attribution (MTA) models to quantify marketing impact and reduce uncertainty.
  • Ability to translate complex model outputs into clear, credible insights that drive stakeholder buy-in and influence marketing decision-making, even without direct ownership of spend.
  • Comfortable navigating trade-offs between model rigor, business timelines, and practical adoption by paid media stakeholders.
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

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Benefits

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