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The Opportunity:

The Data Analyst Intern is part of the data team at Croptix focusing on the design, development, and improvement of analytical models. The data team at Croptix works with a variety of proprietary and secondary data sources, an understanding of basic data science principles, general organizational skills, and adherence to confidentiality is a must. The intern is expected to fully engage in routine, on-site work and collaboration with the team located at Innovation Park in State College.

  • This position is designed to be a quality learning opportunity for undergraduate (junior/senior) and graduate students majoring in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Applied Mechanics, or other related fields.

  • This position requires regular, weekly, in-person interaction with the team located in our State College, PA office.

  • This Internship is offered in a “start-up,” entrepreneurial setting that offers unique opportunities to integrate, expand, refine, and synthesize knowledge from diverse disciplines. It provides circumstances where successful interns can apply higher-order thinking skills (critical thinking, interpretation, evaluation, complex problem solving, etc.) to “real world” work situations while acquiring and refining skills in marketing and personal accountability.

About Croptix:

Croptix (, d/b/a of Atoptix, Inc.) is a venture-backed, Ag-tech company headquartered in State College, PA. Croptix is revolutionizing farming with its intelligent Ag platform, leveraging sensor data and cutting-edge analytics to empower farmers with real-time insights for disease management and crop health optimization.  Croptix provides services for early detection of disease and nutritional issues in crops, which leads to reduced spread of the disease and maintaining healthy, high-quality fruit production and profitability. With the platform's field-deployable sensors and advanced analytics, the service provides timely interventions, ensuring the health and success of the farmer's crops. By detecting both disease and nutritional issues early, Croptix helps farmers keep their crops thriving.

Croptix is looking to immediately hire exceptional Data Analyst Interns who can add even more horsepower to our development, performance, validation, production systems and processes to allow Croptix to deliver new tools to our farmers to detect and mitigate crop loss. Croptix needs creative problem solvers with strong project management skills who meet deadlines while working in a fast-paced, dynamic environment, who are passionate about bringing technology solutions to agriculture to improve and protect food production.

The qualifications listed below give an overview of the job duties and the job requirements. This position is a paid, part-time internship and Croptix recognizes that even the strongest candidates for the job might not have all of these skills on Day 1. This is a work experience that is intended to enrich and compliment the educational experiences of our student workers.

Job Duties and Responsibilities (include but are not limited to):

  • Working independently and collaboratively on projects as part of our Analytics team.

  • Developing tools to help us process data more efficiently.

  • Building Machine Learning models to help improve our disease-classifying algorithms.

Skills, Qualifications & Requirements:

  • Currently a student (undergraduate or graduate) in good standing with focus on B.S. degree in Math, Applied Sciences, Data Science, Engineering, or equivalent.

  • Clear communication skills: our deliverables come in the form of PDF reports, slide decks, wiki pages, Jupyter notebooks, conference posters, and conversations.

  • Python programming experience (numpy, pandas, scikit-learn).

  • Experience using some or all of the following machine learning algorithms: logistic regression, random forest, XGBoost, principal components analysis, linear discriminant analysis.

  • Familiarity with Jupyter, QGIS3, GitHub, Slack, G Suite (Gmail, Google Calendar, Google Drive).

  • Applicants must be currently authorized to work in the United States.  This company does not sponsor applicants for work visas.

  • If hired, must adhere to all company policies and procedures and other prescribed best practices/industry standards.

Preferred Additional Experience:

  • Previous work experience as a Data Analyst.

  • Familiarity with MySQL.

  • Experience building Python packages.

  • Experience working with spectral data and/or signal processing.

  • Experience designing experiments.

  • Knowledge of statistics fundamentals: (generalized) linear models, mixed models, outlier detection.


  • The company actively assists CPT/OPT-eligible students in achieving their career objectives.  CPT/OPT eligible students from Penn State University are encouraged to apply for this part-time position.

  • For this position, the company does not sponsor applicants for work visas.

  • The Company reserves the right to alter, change, modify and/or terminate this job posting at any time without notice, or obligation. No recruiters, please; principal applicants only.

  • Croptix is proud to be an equal opportunity employer. Employment with our company is based solely on a person's merit and qualifications directly related to professional competence. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, pregnancy, or related condition (including breastfeeding), sexual orientation, national origin, genetics, disability, age, or veteran status, or any other or any other basis protected by law.

  • Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.

To Apply:

If you are excited about the position and feel you could bring valuable experience to our team, we encourage you to apply by sending an e-mail to


Please include samples of your work or portfolio along with your resume and cover letter.

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