Data Science Intern Geospatial
Madrid, Spain - Spain
Geotab
Our GPS fleet tracking & management system equips thousands of fleets worldwide with technology to automate, track and manage a truly optimized operation.We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Science Intern Geospatial who will work closely with the Data Solutions team to. If you love data and technology and are keen to join an industry leader — we would love to hear from you!
What you'll do:The Data Science Intern assists in the design and construction of new processes for data modelling using prototypes, algorithms, predictive models, and custom analyses. This internship position works closely with a team of data scientists and other technical professionals to make predictions through the extraction of information from the Geotab data repository needed to solve complex business issues.
The opportunity- 6 months minimum, starting asap.
- Paid internship: Monday - Friday, 33hrs/week.
- Implement new statistical or mathematical methodologies for specific models of data analysis.
- Research the feasibility of potential Geospatial analytics opportunities and use Geotab data to develop new Geospatial data products.
- Provide expert project leadership as a SME: guidance to team members and participate in cross-departmental projects establishing Geotab as a leader in data science.
- Create algorithms and predictive models to extract information required to solve complex business problems.
- Conduct causality experiments by applying A/B experiments or epidemiological approach to identify the root issues of an observed result.
- Identify new, complex queries from Big Data infrastructure from data warehousing database (i.e. Google BigQuery) to add value to the organization.
- Use machine learning (ML) packages (e.g. Scikit-learn and Tensorflow) to develop ML models and features.
- Test the performance of data-driven products and make recommendations for improving Geotab’s product suite.
- Collaborate with internal technical teams and external stakeholders to gather requirements.
- Responsible for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
- Build production datasets and help customers solve business problems.
- 0-2 years experience as a Data Scientist or within the final year(s) of a Postsecondary Data Science Degree.
- Basic understanding of Machine Learning algorithms and Big Data tools.
- Working knowledge of programming languages (e.g. Python, SQL, C++).
- Working knowledge of Big Data tools and data mining/warehousing programs.
- 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
Tags: A/B testing Big Data BigQuery Data analysis Data Analytics Data Mining Data Warehousing Engineering Machine Learning ML models Privacy Python Research Scikit-learn Security SQL Statistics TensorFlow
Perks/benefits: Career development Flex hours Health care Startup environment Team events
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