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Millions of people discover, learn, and create as a result of Craftsy’s education and product offerings. Behind the scenes, our data scientists partner with marketing, analytics, product, and engineering teams to provide heightened crafting experiences for our members and to grow our business. In this critical role, you'll apply your technical, scientific, and mathematical expertise to tackle the toughest analytical challenges we're facing. You'll see direct impact of your work and contribute to long-term strategic initiatives.
Craftsy is a Denver, CO based company building best-in-class educational and inspirational products for passionate maker enthusiasts.
As a data scientist, you'll work on the following types of projects [by partnering with these teams]:
- Algorithmic and code improvements to recommender systems [engineering, marketing]
- Modeling customer behavior; determining segmentation ‘buckets’ [marketing]
- Metadata/tag (ontology) analysis; discovering market trends [merchandisers]
- Financial forecasting (e.g. model design & fitting) [business analysts]
Your education and scientific/mathematical skills look like the following:
- Undergrad in Math, Computer Science, Statistics, or related
- 3+ years post-undergrad, either graduate program or industrial experience
- Requirement: Proficient in basic linear/matrix algebra (and vectorized computation)
- Bonus: familiarity with recommender systems (e.g. collaborative filters)
- Bonus: machine learning (e.g. SVMs, decision trees, random forests), statistical modeling (e.g. Bayesian analysis, generalized linear models)
You also have technical skills that impress, including:
- Proficiency in a statistical/mathematical computing environment:
- Preference: R or Python (specifically SciPy & NumPy) expertise
- Bonus: Julia, MATLAB, Octave, etc. experience
- Comfortable working with large data files/chunks, including transformation and cleaning tasks (i.e. one-off ETL tasks)
- Requirement: Unix/Linux comfort, AWS toolkit familiarity
- Database and data warehouse querying ability:
- Requirement: SQL proficiency
- Bonus: Google BigTable & BigQuery, Hive/Pig, Spark, Presto experience
In addition to your CV or resume, please feel free to submit reprint PDFs or links to any relevant publications you have authored as part of your application.
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