Data Scientist - 2

We are looking for a Data Scientist to join our team, who enjoys collaborating with different teams and working together to identify and influence change to adopt optimized decision-making solutions. SatSure is the place for you.

About SatSure:

SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.

Join us to be at the forefront of building a deep tech company from India that solves problems for the globe. 

Roles & Responsibilities:

• Implementing deep-learning models and/or frameworks that can be used in scene/semantic/panoptic segmentation, and image classification using earth observation data in the agriculture and infrastructure domain.
• Design and implement performance evaluation frameworks and corresponding metrics.
• Exploring and developing state-of-the-art methods for improving existing solutions.
• Collaborate effectively with the technical and non-technical team members to achieve the desired benchmarks within the given time frame.
• Guide junior/intern data scientists.

Qualification:

• 3+ years of experience in machine learning-based data product development 
• 2 - 3 years of work experience as a Data Scientist focused on computer vision and deep learning.
• Bachelor’s or Master’s degree in Computer Science Engineering, Machine Learning, etc.

Must-have:

• Experience in designing and implementing computer vision algorithms including but not limited to image classification, segmentation, translation, and reconstruction using both conventional and deep learning methodologies.
• Prior experience working with statistical modeling techniques and deep learning fundamentals, such as CNN, RNN, Transformers, GANs, etc including sequence networks eg LSTMs
• Proficiency in any programming language, preferably Python, with hands-on experience in using ML frameworks such as Tensorflow/Pytorch, Pytorch Lightning, MxNet, etc
• Effective and empathetic communication skills to facilitate better decision-making across multiple stakeholders.

Good to Have:

• Knowledge of the application of ML for earth observation data
• Appetite for research and implementing innovative solutions for complex problems
• Experience handling geospatial datasets
• Proven ability to communicate highly technical results to a diverse audience

Benefits:

• Medical Health Cover for you and your family including unlimited online doctor consultations
• Access to mental health experts for you and your family
• Dedicated allowances for learning and skill development
• Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves
• Twice a year appraisal

Interview Process:

• Intro call
• Assessment
• Presentation
• Interview rounds (ideally up to 3-4 rounds)
• Culture Round / HR round