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Remote Science Communication Jobs in Lancaster, PA

... 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 ...

Data Scientist

PA · On-site +1

Overview This is a full-time career opportunity that can be remote. The Data Scientist I will be ... Create reports, dashboards, and visualizations to communicate results effectively. * Collaborate ...

Data Scientist

PA · On-site +1

Overview This is a full-time career opportunity that can be remote. The Data Scientist I will be ... Create reports, dashboards, and visualizations to communicate results effectively. * Collaborate ...

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Remote Science Communication information

See Lancaster, PA salary details

$23.8K

$47K

$76.8K

How much do remote science communication jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote science communication 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 is the difference between Remote Science Communication vs Remote Science Writing?

AspectRemote Science CommunicationRemote Science Writing
Required CredentialsScience degrees, communication skills, possibly certifications in science communicationScience degrees, strong writing skills, possibly certifications in technical or scientific writing
Work EnvironmentVirtual, often involves multimedia, presentations, and public engagementPrimarily virtual, focused on creating written content like articles, reports, and manuals
Employer & Industry UsageResearch institutions, science media outlets, educational organizationsScientific publishers, research organizations, educational platforms
Search & Comparison IntentUnderstanding roles involving science communication and outreachLooking for scientific writing opportunities and content creation roles

Remote Science Communication focuses on conveying scientific concepts through various media and engaging audiences, while Remote Science Writing emphasizes creating written scientific content. Both roles require science backgrounds but differ in their primary output and communication methods.

What are the key skills and qualifications needed to thrive as a remote science communicator, and why are they important?

To thrive as a Remote Science Communicator, you need a strong background in science, excellent writing or multimedia communication skills, and at least a bachelor's degree in a relevant field. Familiarity with digital communication tools, content management systems, and social media platforms is typically required, and certifications in science communication or digital marketing can be beneficial. Exceptional soft skills include creativity, adaptability, and the ability to translate complex scientific concepts into accessible language. These skills are crucial for effectively engaging diverse audiences and ensuring accurate dissemination of scientific information in a remote environment.

What is remote science communication?

Remote science communication involves sharing scientific information, research, and discoveries with diverse audiences using digital platforms, rather than in-person events. Professionals in this field may create content for websites, social media, podcasts, webinars, or virtual conferences, aiming to make complex scientific topics accessible and engaging. This role requires strong communication skills, science literacy, and the ability to use digital tools effectively. Remote science communicators often collaborate with researchers, educators, and media outlets from anywhere in the world.

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

One common challenge in remote science communication is ensuring clear and engaging messaging without face-to-face interaction, which can make it harder to gauge audience understanding. Collaborating across time zones and managing effective communication with scientists and stakeholders can also be complex. To address these, remote science communicators often rely on regular virtual meetings, collaborative tools, and clear documentation of project goals and feedback. Building a strong digital presence and adapting content for different online platforms are also key strategies for success in this role.
What are popular job titles related to Remote Science Communication jobs in Lancaster, PA? For Remote Science Communication jobs in Lancaster, PA, the most frequently searched job titles are:
What job categories do people searching Remote Science Communication jobs in Lancaster, PA look for? The top searched job categories for Remote Science Communication jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Remote Science Communication jobs? Cities near Lancaster, PA with the most Remote Science Communication job openings:
Infographic showing various Remote Science Communication job openings in Lancaster, PA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $47,028 per year, or $22.6 per hour.

Data Scientist - Marketing

WebstaurantStore

Lititz, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


WebstaurantStore rating

8.0

Company rating: 8.0 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

114th of 412 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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