Geotab
Atlanta, GA
Data Scientist Intern (Winter/January 2027, 4 Months)
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Apply to Data Scientist Intern (Winter/January 2027, 4 Months) at GeotabJob details
- Location
- Atlanta, GA
- Work type
- Hybrid
- Visa
- Sponsorship available
- Posted
- 2 weeks ago
- Apply on
- boards.greenhouse.io
About this role
Geotab is a global leader in IoT and connected transportation, using vehicle data, analytics, and machine learning to improve fleet operations, safety, and sustainability. The Data Scientist Intern will support data exploration, transformation, and productionization by developing metrics, data models, algorithms, predictive models, visualizations, and analyses for data-driven products.
What you'll do:
- Pull data sets and assemble presentations and visualization for strategic customers and early adopters of new or in progress features
- Assist in dashboarding and visualizations for coverage and accuracy metrics for data science models
- Test the performance of data-driven products and make recommendations for improving Geotab’s product suite
- Contribute to the sprint development and review cycle within your assigned pillar’s data science team
- Create algorithms and predictive models to extract information required to solve complex business problems
- Generate queries from Geotab’s Big Data Infrastructure from Data Warehousing database (i.e. Google BigQuery)
What they're looking for:
- Working towards a degree in engineering, mathematics, or computer science
- Interest or experience in sensor data and data cleaning
- SQL and Python experience
- Experience using a BI platform like looker, or PowerBI. Superset specifically is an asset
- Willingness to learn and creative mindset
- Eager to experience working within a technical or engineering organization
- High accuracy and meticulous attention to detail
- Ability to work well under pressure and respond to fast changing priorities
- Highly organized
- Strong team player
Benefits:
- Full-time, paid internship: Monday - Friday, 37.5hrs/week.
- Flexible hybrid working model supporting both in-person and virtual work.
- Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working.
- Online social events, chat rooms and gatherings.
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