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Remote Full Stack Machine Learning Engineer Jobs in Lancaster, PA

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

This role can be remote in some US states (See below for remote work requirements) or based in one ... machine learning projects. * You have proven ability as a full stack data scientist who develops ...

This role can be remote in some US states (See below for remote work requirements) or based in one ... machine learning projects. * You have proven ability as a full stack data scientist who develops ...

Design, develop, and maintain full stack web applications using .NET, Vue and Angular frameworks ... Position will be offered as a remote opportunity. This role has a starting salary range of $70,000 ...

Design, develop, and maintain full stack web applications using .NET, Vue and Angular frameworks ... Position will be offered as a remote opportunity. This role has a starting salary range of $70,000 ...

Define PCB stack-up, routing strategies, and layout rules to ensure signal integrity, power ... This position is recruited for by a remote Kelly office, not your local Kelly branch. Applicants ...

Define PCB stack-up, routing strategies, and layout rules to ensure signal integrity, power ... This position is recruited for by a remote Kelly office, not your local Kelly branch. Applicants ...

Senior BI Engineer, Data

Lititz, PA · On-site +1

$98K - $133K/yr

Leveraging a modern data stack , scalable cloud technologies, and innovative DataOps practices, the ... Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ...

Benefits & Incentives | WellSpan Careers (joinwellspan.org) Duties and Responsibilities Remote Work ... and machine learning) to support project design, implementation, and scalability. * Partners ...

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Remote Full Stack Machine Learning Engineer information

See Lancaster, PA salary details

$43.2K

$131K

$185.1K

How much do remote full stack machine learning engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote full stack machine learning engineer in Lancaster, PA is $130,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $153,600.00 per year, depending on experience, location, and employer.

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Lancaster, PA? For Remote Full Stack Machine Learning Engineer jobs in Lancaster, PA, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Lancaster, PA look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Lancaster, PA with the most Remote Full Stack Machine Learning Engineer job openings:
Infographic showing various Remote Full Stack Machine Learning Engineer job openings in Lancaster, PA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $130,976 per year, or $63 per hour.
Data Scientist 3

Data Scientist 3

WebstaurantStore

Lititz, PA • On-site, Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


WebstaurantStore rating

7.9

Company rating: 7.9 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

92nd of 339 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 2 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

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