About Us: We are Chicago based team. Our team writes beautiful & functional code that is easily reproducible and testable. We encourage open source contributions, especially with the technologies we use. We don’t release on Fridays.

Our team is currently looking for a data science intern to join our team in March or April.  This position would work an average of 10-15 hours per work to help support our data analytics needs.  As a data science intern, you will utilize a diverse array of technologies and tools, as needed, to deliver insights (e.g., Python, Juypter). You will be a contributor to the team, tasked with developing analytics models and algorithm solutions.

About You: We want developers that are serious about their work but don’t take themselves too seriously. You are flexible, can quickly pick up new technologies, and are a DIYer with a GSD mindset.

Minimum Experience:

• Background writing in Python, Scala
• Experience with SQL & noSQL data stores
• Experience with data cleansing
• Experience with modern ML libraries such as Tensorflow, Keras, SciKit Learn, etc

Skills (must have some or all):

• Previous published academic research in artificial intelligence, machine learning, or operations research
• 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 forest and decision tree models, Basic Data Analysis (Histograms, Scatterplots), Aggregation, Split-Apply-Combine/Map-Reduce, Pivot Tables
• Statistics: Distributions, Bayes' Theorem, t-Testing, ANOVA
• Experience with linear regression analysis
• A grasp of non- and paramtric classification techniques: discriminant analysis, ensemble methods, neural networks
• Experience with dimensionality reduction: Principle Components Analysis (PCA)/Online PCA, Singular Value Decomposition (SVD)
• Unsupervised Learning: Hierarchical (Agglomarative/Divisive) Clustering, k-Means, Expectation Maximization, Mixture of Gaussians
• Experience working with task schedulers (e.g., Aurora, Marathon, Airflow, etc.)
• Experience with distributed computing / concurrent data pipelining

Education: A minimum Bachelor’s Degree in Computer Science, Engineering or any equivalent education or experience. Currently pursuing or recently completed a advanced degree in Computer Science, Engineering, or Analytics.

When applying, please include your resume and salary requirements to [email protected] with the following information in the subject line: "BuiltIn – Intern – YOUR NAME". Local Applicants only.