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Entry Level Data Science Jobs in Erie, PA (NOW HIRING)

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Entry Level Data Science information

See Erie, PA salary details

$10

$18

$26

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

As of Jul 29, 2026, the average hourly pay for entry level data science in Erie, PA is $18.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.72 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Erie, PA? The most popular types of Data Science jobs in Erie, PA are:
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What job categories do people searching Entry Level Data Science jobs in Erie, PA look for? The top searched job categories for Entry Level Data Science jobs in Erie, PA are:
What cities near Erie, PA are hiring for Entry Level Data Science jobs? Cities near Erie, PA with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Erie, PA as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $38,394 per year, or $18.5 per hour.

Environmental / GIS Technician I

Moody and Associates, Inc.

Erie, PA • On-site

Full-time

Re-posted 11 days ago

Job description

Description:

The Environmental/GIS Technician I (SI) position is an entry-level role with primary responsibilities to support project requirements both in the office and, as needed, in the field. This position is primarily field based environmental work with a combination of office-based GIS work. The employee should be prepared to transition between office and field assignments based on project needs, workload demands, and supervisor direction. All tasks and responsibilities are to be performed in accordance with standard industry practices and/or Moody Standard Operating Procedures (SOPs). These generally include, but are not limited to, the following:

  • Adherence to all company and client mandated safety requirements.
  • Collection of surface water and groundwater quality data, stream velocity data, groundwater level data, gas composition data, and soil conductivity data using field instrumentation.
  • Collection of water, soil, and gas samples in accordance with standard industry practice and/or according to Moody SOPs.
  • Documentation of field conditions of media such as soil, groundwater, surface water, bedrock, air quality (gases), stream substrate and biological media.
  • Assemble, calibrate, operate, and maintain field instruments and equipment.
  • Prepare notes and sketches of observed field conditions.
  • Use of Microsoft Excel spreadsheets or other software for tabulating field and laboratory data.
  • Complete entry and quality assurance/quality control tasks with large quantities of data produced from field activities.
  • Ability to work after hours and weekends at times.
  • Willingness to travel to project sites as required, occasionally work out-of-town, if necessary, in all seasonal weather conditions.
  • Responds to written communications/requests from management in a timely manner.

GIS responsibilities (approximately 15-20%) include:

  • Knowledge of ESRI's ArcGIS software suite.
  • Knowledge of map coordinate systems, projections, and transformations.
  • Understand, interpret, and analyze data quickly.
  • Experience capturing, converting, creating, editing, manipulating and maintaining digital information in a GIS environment.
  • Provide support mapping in accordance with Moody standard operating procedures (SOP).
  • Perform quality control (QC) of mapping products, tabular data and attribute information following SOPs.
  • Download digital data from various GIS internet data repositories for use in mapping and analysis.
  • Prepare GPS units for field data collection and input collected data into appropriate databases.
  • Possesses a basic understanding of geology and environmental science.
  • Perform additional duties and responsibilities at time, if necessary, to achieve project and/or company goals.
Requirements:

EDUCATION/EXPERIENCE:

  • Bachelor of Science degree in geology, environmental science, geography, geographic information systems (GIS), or a closely related field is required.
  • Coursework or hands-on experience with GIS software, such as ArcGIS or QGIS, is highly preferred.
  • Staff are encouraged to pursue applicable certifications or accreditations (e.g., GISP) upon supervisor recommendation.

QUALIFICATIONS:

  • Proficiency with relevant software tools, such as GIS, AutoCAD, or environmental modeling programs.
  • Proficiency with Microsoft 365.
  • Strong technical writing skills.
  • Excellent communication skills.
  • Ability to work extended hours when needed.
  • Ability to work on multiple projects simultaneously.
  • Collaborative skills with a strong work ethic.
  • Be dependable (regular attendance required).
  • Must be able to speak & hear detailed information through oral communication.
  • Must be able to see clearly and recognize small details.
  • Possesses excellent organizational skills and the ability to multi-task.
  • Strong commitment to continuing education and professional development in the field.
  • A demonstrated ability to follow safety protocols and contribute to a safe work environment.

WORK SCHEDULES:

  • Full time weekly schedule with minimum average of 30+ hours per week and overtime as required. The standard work week is 40 hours, unless otherwise approved by your supervisor.
  • Schedules are flexible; however, our core office hours are 8:00 am to 5:00 pm, Monday through Friday.
  • Physical presence in the office is required unless otherwise approved by a supervisor.
  • Weekend and evening hours are required periodically. Non-core hours will be communicated in advance when possible.


PHYSICAL DEMANDS:

The physical demands described here represent those that must be met by an employee to successfully perform the essential functions of this position. Employees must be able to lift up to 30 pounds and perform physically demanding tasks while working outdoors in adverse environmental conditions, including rugged terrain, remote locations, hot and cold temperatures, and inclement weather.


While performing the duties of this job, the employee may be regularly required to sit for long periods of time when performing office-related tasks and/or while driving for business purposes. Field-related tasks may require hiking long distances while carrying equipment and supplies with frequent walking, kneeling, bending, and lifting. Employees must be able to carry out the physical effort necessary to perform job-related tasks.