Data Science Manager

Bengaluru

Applications have closed

Zendrive

Zendrive's Mobility Risk Intelligence (MRI) platform provides critical risk insights for smarter underwriting, claims, roadside assistance, driver analytics, and customer acquisition.

View company page

Zendrive’s mission is to “make roads safer using data and analytics”. To make that a reality, we make a smartphone-first platform that:automatically detects vehicle collisions and accidents and helps save livesUnderstands and predicts driving behavior, and improves driver safetyHelps drivers and fleets save time and money .
Data is at our core, and it is managed by the Zendrive Data Platform team in Bangalore. We want an Engineering Manager for this team. 

About your RoleAs a Data Science manager, you will manage and coach teams of highly skilled engineers and Data Scientists at different experience levels. You should be able to provide technical expertise in the activities in the Data Science workflow such as data analysis and visualization, feature engineering,  traditional and Deep Learning model building, model deployment and field performance monitoring.

You will also

  • Define and set standards for Data Science rigor-
  • Drive Data Science strategy and vision for the product-
  • Work closely with customers and product managers-
  • Innovate, prototype, and adopt new software and technologies as needs arise 

What’s In It For You

  • Receive a competitive salary and performance bonuses-
  • Be recognised and appreciated for your hard work in our kudos and awards culture-
  • Build apps with world-class technology, such as our driving behaviour algorithms-
  • Learn with the best: Work with a world-class, industry-leading team of engineers and data scientists-
  • Work on challenging problems, such as eliminating all road collisions
  • Discover both vertical and lateral growth opportunities for your career
  • Enjoy the benefits of a full-time job such as health insurance and spending allowances
  • Enjoy the benefits of Zendrive’s culture with regular events, celebrations, and gifts
  • Work from a remote location of your choice, until we deem it safe to return to an office environment

Pre-requisites

  • A Bachelor’s / Master's / Doctorate degree in Computer Science or related technical discipline
  • 10+ years of experience in building Data Science products
  • 3+ years of experience in technical leadership

It will be nice if you can demonstrate

  • 3+ years of experience in managing a team of software engineers and Data Science professionals
  • Experience in developing and productionising
  • Data Science models- Expert level proficiency in Python / R
What we offer you:Working from a remote location of your choice, until such time as we figure that it is safe to move into a more conducive office space, which may not be anytime soon. Having said that, we provide a great collaborative environment even virtually with the best engineering talent to be found anywhere in the world. Along with a competitive salary, we will be providing you the opportunity to contribute to the development of products that make a real impact on the world. 
If you are excited about the job description and see yourself excelling in this role, hit the APPLY FOR THIS JOB button at the end of this page. Our Talent Acquisition team will get in touch with you.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Science Data analysis Deep Learning Engineering Feature engineering Model deployment Python R

Perks/benefits: Career development Competitive pay Health care Team events

Region: Asia/Pacific
Country: India
Job stats:  14  2  0
Category: Leadership Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.