Data Scientist

San Francisco, CA 94016

Post Date: 01/03/2018 Job ID: 281108-0_1 Category: Data Science Salary: $135,000 - 145,000
Title: Data Scientist
Location: San Francisco, CA
Salary: $135,000 - 145,000
Contact: Nikki Quist,

Data Scientist Responsibilities:

As a Data Scientist you will:

-Build machine learning algorithms
-Work closely with business consultants to deliver applicable solutions to clients using machine learning techniques
-Solve challenging problems in customer data analytics, resource optimization and natural language processing.
-Develop models in specific industries or business functions
-Successfully deploy code and models
-Design solution architecture in cloud environments like AWS and Azure
-Share learnings with team about theoretical and technical developments

Data Scientist Qualifications:

Must have:

-Masters' Degree or Ph.D. in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or a related quant field
-5 or more years of experience in data science and machine learning
-Strong computer science fundamentals including knowledge of data structures and algorithms
-Experience with a variety of machine learning techniques like random forest, gradient boosting, support vector machines, neural network and clustering
-Strong proficiency in Python and
-SQL proficiency
-Linux systems skills are a plus
-Excellent written and verbal communication skills
-Ability to work independently and multitask
-Interest in learning about business applications, business models and economics of machine learning

Data Scientist Bonus experience in:

-Experience in customer analytics (churn analysis, segmentation), time series forecasting and natural language processing
-Experience with Apache Hadoop, Spark, Flink and Ignite
-Experience with Scala and Java
-Experience with R programming, statistical computing and knowledge of advanced statistical modeling

Paul Chatlos
Executive Recruiter

Paul specializes in the recruitment of quantitative marketing professionals. He prides himself in building excellent relationships with both clients and candidates in order to best address their hiring needs and career goals.
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