Data Scientist

San Francisco, Vancouver 94107

Posted: 12/12/2018 Employment Type: Direct Industry: Engineering-DataScientist Job Number: atc-464

Job Description

Data Scientist (San Francisco)


As a creative, versatile, and motivated data scientist you will be part of a fast growing team building a SaaS-Web based BigData platform. You will lead data science projects to develop exciting new algorithms for the product, help productize algorithms into the scalable  analytics platform. 


Key Drivers and Responsibilities  Are: 

Design algorithms to infer key transportation patterns from various data sources.

Research and implement suitable strategies such as regression models, neural networks,          for solving data science problems.

Research  and build real-world data sets for training various models and doing quality        checks.

Productize data science algorithms within the  Data platform, in collaboration with the Application Engineering team.

Create and present visualizations and analytics dashboards to help tell stories with data.

·       Define and implement customized cutting-edge solutions for customers.


Job Requirements

To Succeed You Must Have:



5-8 years of experience in data science or statistics, using tools such as R or Python.


2+ years of experience in SQL and relational databases (PostgreSQL preferred)-Data Processing, and good understanding of relational concepts.


Strong understanding of techniques in data science such as machine learning algorithms, regression analysis.

Strong data analysis skills, ability to know what techniques can be possible, and the ability to visualize data in a compelling form.

Good communication skills - written, visual (presentations), and verbal.

Ability to deliver adequate results on deadline, and make compromises to  enable scalability and productization of algorithms.

Geo-spatial skills  are a big plus.


Knowledge of transportation data / industry is a plus.


Experience in Hadoop, Qlik 


Quick learner, and a strong team player.


BS / MS in Mathematics, Computer Science or an Engineering discipline from a top university. 
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