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Hybrid Staff Data Scientist

Netradyne · Bangalore, Estados Unidos Da América · Hybrid

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Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.

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 :- 5 to 10 years

Job Title :- 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 5 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.

We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

If there is a match between your experiences/skills and the Company's needs, we will contact you directly.

Netradyne is an equal-opportunity employer.

Applicants only - Recruiting agencies do not contact.

Recruitment Fraud Alert!

There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.

Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.