DATA SCIENCE INTERN
Build your career with Jabil! We challenge and empower you to make most of your talents, working with outstanding colleagues from diverse backgrounds who share your drive and passion to make Jabil grow!
JOB SUMMARY
A data science intern is a trainee who wants to gain working experience in the field of data science. Data science interns assist data scientists in collecting, analyzing, and interpret data sets to drive optimization and improvement of product development. As part of the company's trainees, data science interns are required to provide help in developing custom data models and algorithms to apply to data sets. Data science interns must also coordinate with different functional teams to implement models and monitor outcomes.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Identifies and analyzes patterns in the volume of data supporting the initiative, the type of data (e.g., images data) and the speed or sudden variations in data collection
- Educates the organization both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results
- Works with IT teams to support data collection, integration, and retention requirements based on the input collected with the business
- Build dashboards using tools like power BI
- Conducts basic data analysis
JOB QUALIFICATIONS & KNOWLEDGE REQUIREMENTS
- Proficient in Python/R, Cloud techniques development experience is plus
- Familiar with regression models (i.e., xgboosting, lightGBM etc.), classification models (i.e., logistic regression, SVM, etc.), cluster models is preferred
- Strong statistics and Excel knowledge is plus
- Strong written and verbal communication skills and the ability to work effectively in teams and under pressure.
- Multi-lingual capability is a plus
- Highly motivated and creative, thinking “out of the box”
- Enthusiasm and ability to seek out and learn new technologies and algorithms outside of your immediate toolset/knowledge to solve business problems where required
EDUCATIONAL BACKGROUND & EXPERIENCE
- Current student pursing a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Mathematics or Statistics
BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact the Federal Bureau of Investigations internet crime hotline (www.ic3.gov), the Federal Trade Commission identity theft hotline (www.identitytheft.gov) and/or your local police department. Any scam job listings should be reported to whatever website it was posted in.
Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.
Accessibility Accommodation
If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Jabil.com/Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to Always_Accessible@Jabil.com or calling 727-803-7988 with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail or phone number. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.#whereyoubelong
#AWorldofPossibilities
#EarlyCareer
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