Senior Staff Data Scientist

About Netradyne 

Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry. Netradyne’s technology is already deployed in thousands of vehicles; and our customers drive everything from passenger cars to semi-trailers on interstates, suburban roads, rural highways—even off-road. 

Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD etc. We build cutting edge AI solutions to enable drivers and fleets realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce fatalities/injuries.

Experience range :- 10 to 16 years

Job Title :- Senior Staff Data Scientist 

Role and Responsibilities 

You will be embedded within a team of data scientists, engineers, and analysts; responsible for conducting studies, setting up tools/framework for automation and large-scale data processing, and publishing regular internal/external KPI audits. You will

• Design, develop and evaluate statistical and predictive models to understand feature performance.

• Collaborate with cross-functional teams to identify data-driven solutions and insights for business challenges.
• Employ advanced statistical techniques to identify trends, patterns, and anomalies in the data.

• Develop various cloud/web components to ingest, process, transform, and visualize data at scale.
• Build tools/framework to improve data mining, labeling, training, and validation of in-house deep-learning/machine-learning features.

• Collaborate with cross-functional teams to identify data-driven solutions and insights for business challenges.

• Communicate and present findings in a clear and intuitive manner and build story-telling dashboards.

Requirements: 

• Tech, M. Tech or PhD in computer science, electrical engineering, statistics or math.

• At least 7 years of working experience in data science or related domain.

• Strong knowledge of statistics, probability, and estimation theory.
• Strong programming skills in Python and strong fundamentals in Computer Science - particularly in OOP, algorithms, and data structures.
• Good understanding of internals and schema design for various data stores (RDBMS and NoSQL).
• Strong analytical and problem-solving skills with a keen attention to detail.
• Experience with data visualization and storytelling. 
• Excellent communication and presentation skills, both written and verbal.

 Desired Skills: 

• Experience with data visualization tools like Tableau, Graphana, Plotly-Dash is a plus.

• Exposure to AWS services like Kinesis, EKS, ASG, etc is a plus.
• Expertise in at least one popular Python web-framework (like Django or Flask) is a plus.