2

Entry Level Python Data Science Jobs in Lancaster, PA

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

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 ...

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 ...

Minimum 2 years experience applying data science to pricing and demand problems in ecommerce, ... Advanced Python and SQL skills Education This role does not require a degree. We value relevant ...

Operations AI Intern

Morgantown, PA · On-site

$14.75 - $19.50/hr

... Science, Data Science, Engineering, AI/ML, Industrial Engineering, or related field. * Foundational knowledge of machine learning concepts and data analysis. * Experience with Python, SQL, AI ...

... Data Science, Information Systems, or a closely related technical field. The intern will work with ... Familiarity with Excel, Power Query, DAX, Python, R, or similar analytical tools. * Interest in ...

... Data Science, Statistics, Computer Science, or related field • Experience working with large ... Python, R, etc.) • Experience building and implementing machine learning or statistical models ...

... Entry Level Category Administrative / Clerical Job Type Permanent About PSA BDP: PSA BDP, a member ... sciences & pharmaceuticals, and electric vehicle & industrial verticals. The Documentation ...

next page

Showing results 1-20

Entry Level Python Data Science information

See Lancaster, PA salary details

$12

$56

$83

How much do entry level python data science jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for entry level python data science in Lancaster, PA is $56.97, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.71 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an entry level Python data scientist?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are popular job titles related to Entry Level Python Data Science jobs in Lancaster, PA?

For Entry Level Python Data Science jobs in Lancaster, PA, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Data Science jobs in Lancaster, PA look for?

The top searched job categories for Entry Level Python Data Science jobs in Lancaster, PA are:

Infographic showing various Entry Level Python Data Science job openings in Lancaster, PA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,499 per year, or $57 per hour.

Data Scientist 3

WebstaurantStore

Lititz, PA • On-site, Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


WebstaurantStore rating

8.0

Company rating: 8.0 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

117th of 418 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom