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Data Scientist

Job Category:
Technology Provider
Career Level:
Management (Manager/Director)
Job Type:
Full Time/Permanent
Positions:
1
Company Name:
Telenav
City:
Santa Clara
Country:
USA
Description:

Job description

Do you dream of what cars of the future will look like when you combine them with connectivity, a smartphone, and cloud services? Can you imagine uniting those dreams with a company that has the skills and relationships to make that a reality? If so, Telenav wants you!

 

 

At Telenav, we believe the car is at the beginning of a massive innovation wave that mirrors what happened on the smartphone several years ago. Building on our long history of mobile and in-car navigation software and services, we are on a mission to make people’s lives less stressful, more productive and more fun when they’re on the go.

 

 

We’re looking for a highly-motivated Data Scientist to join our growing Data Science team. 

 

 

Responsibilities:

 

 

  • Design, model, validate and test algorithms using python or R, etc., against various real-world data sets including behavioral data. 
  • Develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations 
  • Understanding of relevant statistical measures such as confidence intervals, significance of error measurements and generation of plots etc. 
  • Present proposals and results in a clear manner backed by data and coupled with actionable conclusions. 
  • Act as a data consultant in recommending the right tools/libraries to understand big data patents and extract insights inside Telenav. 
  • Working closely with data platform team in taking the model into production with A/B testing. 

 

 

 

Required Experience:

 

  • Master’s degree in data science, computer science, statistics or machine learning 
  • 3+ years of working experience in Python scikit-learn and/or R. 
  • A strong passion to perform empirical research & analysis of high- dimensionality spatial and temporal data for answering hard questions 
  • Solid knowledge of various machine learning techniques and key parameters that affect model’s performance 

 

 

 

Desired experience:

 

  • Understanding of the internals of the state of the art Machine Learning techniques. 
  • Familiarity with Deep Learning. 
  • Experience in using libraries/frameworks like tensorflow, caffe or nltk. 
  • Programming experience in Java 
  • Experience with Big Data Technologies (MapReduce, Hive, Spark, Kafka, Yarn, Storm), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop 
  • Experience with EMR, Redshift and other services will help you hit the ground running