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Location: mid-peninsula, silicon valley, usa

remote: depending on team and responsibilities, but sure

willing to relocate: perhaps; I would need a great offer (and to be clear, would probably have to be near skiing).

technologies:

   tech: R, java, python/sklearn, vowpalwabbit, h2o   
   machine learning: general modeling, regression, optimization, trees, 
   forests, boosting, feature gen, etc   
   tools: hive, hadoop, emr   
   databases: pg, mysql, hive, mongo, redis
resume: briefly, I model ML problems and build the code and the supporting data pipelines. I have experience in adtech and related fields.

email: in the profile

What: I'm looking for data science / ml engineering positions. I'm particularly interested in a half-time position, so if you're looking for a data scientist but not sure you have enough work to hire one, we should talk. I may be interested in your fulltime position, but I'm working on some side projects as well; send me an email and we can discuss.


Location: mid-peninsula, silicon valley, usa

remote: depending on team and responsibilities, but sure

willing to relocate: perhaps; I would need a great offer (and to be clear, would probably have to be near skiing).

technologies:

   tech: R, java, python/sklearn, vowpalwabbit, h2o   
   machine learning: general modeling, regression, optimization, trees, forests, boosting, feature gen, etc   
   tools: hive, hadoop, emr   
   databases: pg, mysql, hive, mongo, redis
resume: briefly, I model ML problems and build the code and the supporting data pipelines. I have experience in adtech and related fields.

email: in the profile


SEEKING WORK remote or sfbay

I'm a data scientist / machine learning engineer who researches and implements various ml pipelines (ad optimization, ad matching, revenue optimization) in R, python, ruby, java, and/or hadoop as appropriate. I understand how to scale models and data pipelines but won't waste time with hadoop/hive unless absolutely necessary.

Skills:

- R expert;

- hadoop/hive, on emr or on real machines;

- ML (regression/glm, gradient boosting, rf, neural nets, trees)

- data cleaning and insights

Email in profile / http://shoutkey.com/unjustifiable


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