Data Science Intern
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What we do:
Uptake's business is global, disruptive, differentiated and approaches the market in a new way. We help customers identify hidden value and create growth through business and technology innovation, while also enabling cost efficiencies that generate industry-leading business performance. Our team drives this success by connecting customers and partners to the value of the Internet of Things, business-centric architectures, and key technology transitions.
What you'll do:
- Collaborate with a team to analyze problems
- Write functions/scripts to build datasets base
- Model building and testing
- Writing informal reports for internal use
- Working with developers and implementation engineers to spec out database models and determine implementation of algorithms
With slightly less frequency, the individual may:
- Meet with a client to understand the needs for a project
- Write a project scope for a consultant, as well as potentially managing the consulting relationship
Requirements:
- Experience with R, Matlab, or Python
- Experience building time series, spatial, or financial forecasting models for prediction
- Familiarity with any or all of the following
- Dirichlet Latent Process
- Lasso,SpAM/Ridge regularization
- Ensemble methods
- Time series analysis (GARCH, auto-regressive or moving average, etc.)
- Bayesian inference
- Random forrest and decision tree models
- Solid communication skills
- Comfortable working in an entrepreneurial environment
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