Data Scientist

Working as an early-employee at a startup, youll be responsible to help us drive product design decisions.

• Working on large scale machine learning challenges that impact millions of people around the globe

• Researching and implementing cutting-edge algorithms and implementing pipelines that work with massive data sets in real-time

• Working on a large variety of different tasks, ranging from prediction models, cluster algorithms, optimization problems, to outlier detection

• Implementing fast, scalable solutions with optimal performance day in and out

• This position will play a crucial role in the full product development lifecycle. Machine-learning is the core of our business, and the role will be responsible for all phases of the product development lifecycle

• Evaluate and validate the analyses with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science / computer science.

• Writing specifications for algorithms, reports on data analysis, and documentation of algorithms.

• 5+ years hands on experience with Python, TensorFlow, Spark, Airflow, and SQL is important

• Strong programming background in 1 or more of Python, C/C++, R, Java, and knowledge of software engineering concepts (OOP, design patterns).

• Extensive experience with the development of data-science products from research to production

• Excellent coding skills with the attitude of clean code, reproducibility, and testing

• Experience with algorithms to handle sparse and large datasets across 1 or more modalities (audio, sensors, images, videos, text) would be a great asset

• A decent understanding of dashboards and SQL will help to develop and improve monitoring tools

• Excellent mathematical and skills and background in Drifts, significance tests, metrics evaluation, visualization, advanced probability concepts

• Experience in Design Thinking or human-centered methods to identify and creatively solve customer needs, through a holistic understanding of customer s problem area

• Knowledge with Reinforcement learning and Optimisation problems on a large scale is a big plus

• Some experience in project management and mentoring is also a plus.

• Knowledge and experience of deploying large-scale systems using distributed and cloud-based systems (Hadoop, Amazon EC2) is a big plus.

• Passion for developing data products from scratch and a high level of proactiveness

• You are scrappy, take ownership, and follow through to the very end

• You enjoy wearing multiple hats

• A sincere desire to learn and grow - were quite small, so the desire to learn and grow as the company grows is essential!

Location : Pan India