Job Title

Data Science Lead

Job Description

We are looking for a talented and self-driven individual who is an expert at real-time data processing and apply various machine learning algorithms to develop aggregated analytics and predictive models. This will be a key position that provides leadership and coherent data processing architecture for real-time location and sensory streams to be used in various purpose built enterprise applications.


  • Work as a key member of high-performance team and provide real-time insights into location and sensory data
  • Overall data processing architecture that weaves business rules and learning models for desired outcomes
  • Develop predictive models for breakdown, tune-up insights based on historical and real-time sensor streams
  • Develop algorithms for location and coverage accuracy models based on sensor signal strength characterization
  • Analyze time series data streams for anomaly detection, process mining with associated insights
  • Experiment on application level insights from location, environmental and other multi-sensory inputs

Required Skills

  • Extensive experience and deep understanding of Spark Streaming, MLLib and Cassandra is a must
  • Strong programming skills in Scala and Java is a must
  • Deep expertise with statistics and machine learning algorithms
  • Experience with domain data modeling using Cassandra and Graph databases
  • Familiar with MQTT and message brokers like Kafka and RabbitMQ


  • MS/PhD in Computer Science or equivalent
  • Proven research and implementation in the areas of data processing, deep learning, and prescriptive intelligence
  • Full-time and local candidates only

Compensation & Benefits

  • Comprehensive Health, Vision, Dental, & 401K
  • Equity stake in our future success
  • Flexible vacation policy
  • Team building activities, kitchen stocked with snacks and drinks

Our Core Values

  • Innovation, Agility, Action and Results
  • Customers and solutions come first; Rest follows
  • We innovate and constantly improve
  • Have fun and thrive in fast paced environment