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Data Science Jobs in Reading, PA (NOW HIRING)

Phytogenx Incorporated

Operations AI Intern

Morgantown, PA · On-site

$14.75 - $19.50/hr

Currently pursuing a degree in Computer Science, Data Science, Engineering, AI/ML, Industrial Engineering, or related field. * Foundational knowledge of machine learning concepts and data analysis.

Nokia

Sr Product Test Capability Engineer

Allentown, PA · On-site

$96K - $179K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

We are looking for recent or upcoming graduates (MS or PhD) in Physics, Optics or Data Science for this role. Responsibilities * Develop and implement test plans for Nokia's coherent pluggable ...

Nokia

Sr Product Test Capability Engineer

Allentown, PA · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

We are looking for recent or upcoming graduates (MS or PhD) in Physics, Optics or Data Science for this role. Advancing connectivity to secure a brighter world. Nokia is a global leader in ...

FocusKPI

Marketing Operations Analyst

Reading, PA · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

firstPRO, Inc

Technical Recruiter

Reading, PA · On-site

$34 - $36/hr

Proven track record of direct sourcing and headhunting across software engineering, data science, infrastructure, and technical management. * Volume Capability: Demonstrated ability to independently ...

Varsity Tutors

TEAS Tutor

Reading, PA · Remote

$18 - $40/hr

Guides students through interpreting scientific data, converting measurement units, solving algebraic equations, analyzing sentence structure, and managing time across four test sections. Emphasizes ...

Varsity Tutors

Elementary School Science Tutor

Reading, PA · Remote

$18 - $40/hr

Deep knowledge of life science including plants, animals, and ecosystems, earth science including ... Guides students through forming hypotheses, recording data in journals, comparing and classifying ...

Varsity Tutors

Computer Programming Tutor

Reading, PA · Remote

$18 - $40/hr

Emphasizes logical thinking and systematic debugging skills and connects programming to web development, data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

Element Materials Technology

Data Processor

Reading, PA · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Boeing

Product Review Engineer (Mid or Lead)

Schuylkill Haven, PA · On-site

$102K - $134K/yr

  • Medical

  • Life

  • Retirement

Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent ...

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All JobsData Science JobsData Science Jobs in Reading, PA

Data Science information

See Reading, PA salary details

$36K

$117.9K

$188.7K

How much do data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data science in Reading, PA is $117,872.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $130,600.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
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Data Science jobs near you
Infographic showing various Data Science job openings in Reading, PA as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $117,872 per year, or $56.7 per hour.

Operations AI Intern

Phytogenx Incorporated

Morgantown, PA • On-site

$14.75 - $19.50/hr

Other

Re-posted 21 days ago

Job description

We are seeking a motivated AI Intern to support focused artificial intelligence and automation projects across our manufacturing operations. This role is ideal for a student or early‑career technologist who wants real‑world experience applying modern AI tools to solve practical production, quality, and workflow challenges. You will work closely with engineering, operations, and quality teams to prototype AI solutions, analyze data, and help streamline processes. This is a hands‑on role with exposure to a wide variety of manufacturing systems and continuous improvement initiatives.

Key Responsibilities
  • Assist in designing, testing, and deploying AI‑powered solutions that support production, quality, and efficiency goals.
  • Collect, clean, and analyze operational datasets from manufacturing systems (e.g., production logs, quality data, equipment metrics).
  • Build lightweight prototypes such as predictive models, computer vision tools, or workflow automations.
  • Support development of dashboards, reports, and visualizations for plant metrics and AI outputs.
  • Collaborate with cross‑functional teams to document requirements, findings, and implementation steps.
  • Research new AI tools, frameworks, and best practices applicable to manufacturing environments.
  • Maintain clear documentation of models, workflows, and results.
    • Preferred Qualifications
  • Currently pursuing a degree in Computer 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 frameworks, computer vision tools, visualization software, or automation platforms is a plus.
  • Interest in manufacturing, process optimization, or industrial automation.
    • Soft Skills
  • Strong problem‑solving mindset and curiosity.
  • Willingness to learn new tools quickly.
  • Ability to communicate findings to both technical and non‑technical teams.
  • Detail‑oriented, organized, and able to work independently with guidance.
    • What You’ll Gain
  • Hands‑on experience applying AI to real operational challenges.
  • Exposure to modern manufacturing processes and industrial systems.
  • Mentorship from engineers and leaders supporting innovation initiatives.
  • Opportunity to contribute directly to efficiency, quality, and capability improvements.

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