Jobs
Required Skills
Python
R
MATLAB
Statistical analysis
Data modeling
Oceanography
Overview We are seeking a full-time Oceanography Intern at Garmin’s U.S. headquarters in the Greater Kansas City area.
In this role, you will be responsible for learning to apply scientific research skills to support Garmin's Marine business, products, and user experiences under supervision.
Essential Functions Learn to develop custom data models and algorithms to produce high quality products Learn to use predictive modeling to increase and optimize user experiences, revenue generation and business initiatives Learn to visualize and present data for stakeholders using intriguing and interesting graphics/technologies Learn to use quantitative skills to answer questions directly posed by the business, but also proactively seek out questions whose answers would also benefit the business Basic Qualifications Pursuing a Masters or Doctoral Degree in Oceanography or a related field Bachelor’s Degree in Oceanography, Biology, Mathematics, Statistics, Physics, or a related field Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule) Must possess relevant experience and/or training in languages such as Python, R, and MATLAB Must possess understanding of advanced statistical techniques, including multivariate analysis, time series analysis, and spatial analysis Demonstrated expertise in one or more of the following: physical Oceanography, satellite Oceanography, weather Desired Qualifications Outstanding academics (cumulative GPA greater than or equal to 3.5 as a general rule) Garmin International is an equal opportunity employer.
Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program.
Details can be found here: Garmin Intern Benefits
Essential Functions Learn to develop custom data models and algorithms to produce high quality products Learn to use predictive modeling to increase and optimize user experiences, revenue generation and business initiatives Learn to visualize and present data for stakeholders using intriguing and interesting graphics/technologies Learn to use quantitative skills to answer questions directly posed by the business, but also proactively seek out questions whose answers would also benefit the business
Basic Qualifications Pursuing a Masters or Doctoral Degree in Oceanography or a related field Bachelor’s Degree in Oceanography, Biology, Mathematics, Statistics, Physics, or a related field Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule) Must possess relevant experience and/or training in languages such as Python, R, and MATLAB Must possess understanding of advanced statistical techniques, including multivariate analysis, time series analysis, and spatial analysis Demonstrated expertise in one or more of the following: physical Oceanography, satellite Oceanography, weather Desired Qualifications Outstanding academics (cumulative GPA greater than or equal to 3.5 as a general rule) Garmin International is an equal opportunity employer.
Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program.
Details can be found here: Garmin Intern Benefits
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About Garmin
Reviews
3.8
4 reviews
Work Life Balance
3.5
Compensation
3.2
Culture
4.0
Career
3.5
Management
3.0
75%
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Pros
Good company culture
Relevant and interesting work
Well-known company reputation
Cons
Lower pay compared to competitors
Unclear management structure
Unfamiliar division assignments
Salary Ranges
27 data points
Junior/L3
Junior/L3 · Business Development
0 reports
$65,670
total / year
Base
-
Stock
-
Bonus
-
$55,819
$75,521
Interview Experience
2 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Offer Rate
50%
Experience
Positive 50%
Neutral 0%
Negative 50%
Interview Process
1
Technical Interview
Common Questions
Technical questions
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