Data Scientist at Solo Funds

| Greater LA Area
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We are hiring a Data Scientist to help transform the digital lending space. We believe that lending and borrowing money should be easy, fulfilling, and fun. You’ll work closely with our head of product, engineers, and CEO to develop thoughtful experiences to facilitate financial transactions between peers. We’re a scrappy group, driven by the desire to change peer to peer lending through user-focused design. At our company’s stage, the impact you can have is huge.

You will be building predictive algorithms that will drive our platform development and collaborating to design and develop backend distributed services.

WHAT WE ARE LOOKING FOR

* Build and maintain data driven optimization models, experiments, and forecasting and predictive algorithms 
* Collaborate to design, develop, test and deploy web applications and distributed services 
* Develop, implement and maintain machine learning algorithms that drive our data pipeline operation 
* Leverage advanced statistical modeling to guarantee proper data QA process 
* Learn, train and develop yourself -on the cutting edge of performance, ease of use, and security

TECH REQUIREMENTS

* BS/MS degree in Computer Science, Mathematics, Engineering or a related subject 
* Experience with in Finance 
* 3+ years of data mining / analytics experience including applied techniques in data mining, machine learning, or scientific computing 
* Thorough knowledge of supervised and unsupervised learning algorithms. 
* Working experience on Python, R or Java/Scala preferred 
* Software back-end development experience (E.g. Java/Scala, Ruby, Python) 
* Experience with relational databases (E.g. PostgreSQL, MySQL, Oracle) 
* Demonstrated ability to provide insights from data sets 
* Understanding of statistics and optimization techniques 
* A great sense of humor, teamwork skills, and the ability to collaborate with co-workers 
* Ability to work in a team environment

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Location

Our company is in trendy DTLA, walking distance to food, shopping and plenty of bars. Plus the office is easy to get to from public transportation.

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