Senior Data Scientist, Computer Vision (CV)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

About The Job

• Plan and execute CV solutions across SBU’s
• Steer the CV pipeline improvements using python
• Grow the CV competency in the Analytics CoE.
• Focus on creating reusable components to reduce CV execution cycle.
• Build CV-enabled solutions using latest in DL/ML
• Experiment with cloud providers ecosystem – Azure / AWS for optimal deployment.
• Craft training collaterals to groom others in CV skills.
• Be the technical SME to provide suggestions for potential leads.

To join us, you should:

• Feel the thrill of using data to tell Data stories.
• Enjoy working in a fast-changing field.
• Be great with people and fly solo if needed.
• Strong grasp of image classification, object detection or semantic segmentation
• Ability to understand business requirements and map them to data requirements
• Implementation experience using Pytorch/ Tensorflow, OpenCV, scikit-learn.
• High comfort with python programming.
• Experience with deployment using Docker or Airflow/Kubeflow is bonus.
• Highly motivated individual with ability to coordinate with other team members.

You must have:

• 4+ years of Data Science with at least ONE(1) year in Computer Vision.
• Demonstrated ability to analyze results to make accurate conclusions.
• Good command on database management, development environments.
• Strong time management and organizational skills.
• Comfortable to articulate your thoughts and demonstrate value in your work.

About us

We write software that tells data stories. We told a global computer manufacturer to “focus on order delivery time. It'll increase NPS by 18% with incremental revenue of >$50M”. We predicted mosquito release points for a foundation to cut down process times from 3 weeks to 2 hours in a mission to protect 100M lives from malaria in 5 years.”.

We are good at what we do, which is why we are growing by 40% every year. We're looking for team members who share our vision and will help us scale.

We offer you

• A chance to try things, take risks.
• Meaningful problems you'll be proud of solving.
• People you will be comfortable working with.