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Data Engineer

San Fransico, California  - Permanent

Job Description

Our client, a well funded and rapidly growing start up located in San Francisco, is looking bring on a Data Engineer.
The ideal person has a background in software engineer as well as data science, grounded in sound statistical theory. Someone who is excited about data science and how it can create a key competitive advantage. Someone who is passionate about learning and sharing this knowledge with their team.

In this role you will:
Build an ETL pipeline to consolidate data across systems
Develop data processing tools,maintain data sets
Build statistical models for segmentation, classification, optimization, and time series analysis
Collaborate with Product, Sales, Marketing, and Merchant Success teams

Must Have Skills:

5+ years experience in software engineering / data science
MS or Ph.D. in engineering, statistics, operations research, applied mathematics, or another scientific discipline
Strong skills in statistics, probability, and/or machine learning.
Expertise in one of R, Python (Numpy, SciPy, Pandas, Scikit-Learn)
Expertise with relational databases, particularly in database performance (indexing, partition, segmentation, ACID vs. BASE)
Experience using technologies such as Redshift, Vertica, Kinesis, Kafka, Spark and AWS Data Pipeline
Experience with data visualization tools like Tableau, Domo, or Looker is a big plus

Starting: ASAP
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