Data Scientist - Social Relevance
Tagged - San Francisco, CA

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We have 3 Million DAU and 300 Million registered users. Your work will have direct impact on millions of users and you’ll devise ways throughout to analyze and monitor the performance of your algorithms on live production data. You will have ample opportunities to be hands-on and engage with other team members in writing prototypes, tests and tools to get the most from your models.

Technical Expertise required:
Strong background in algorithms, recommendations and/or machine learning

Unsupervised learning

Classification techniques

Collaborative filtering

Matrix factorization

Support vector machines

Strong modeling skills

Ability to break down and clearly define a problem

Define problem objective, constraints, and assumptions

Clearly understands the limitations (or how to test the limitations) of a model

Modeling uncertainty (stochastics / probability)

Background in building scalable technologies is a plus

Map/Reduce, Mahout / hadoop

Database design

Search technology

Programming skills

Scala or Java a plus

Good understanding of best practices, design patterns

OOP and AOP a plus

Bonus if you have:
Worked on social applications people recommendations in the past

Recommender system algorithms

NoSQL and new data storage and processing trends

PHP, Javascript, and other web technologies

M.S. or Ph.D. in a related field

About this company
Tagged is the social network for meeting new people. While other offerings focus almost exclusively on existing relationships, Tagged has...