Ather

Role: Data Scientist

College: Not Specified

Interview Date: Not Specified

Interview Type: Full-Time

Result: Not Specified

Difficulty: Not Specified

Rounds: Multiple rounds

Topics Asked: Basic AI and ML skills, Problem-solving, Aptitude, Analytical Thinking, Product Conceptualization from Algorithms, Learning Flexibility, Statistical Techniques, C++, Golang, System Architecture, IoT, Telemetry, R markdown/Python/Grafana, SQL, No-SQL

Experience:

This describes the general hiring process for a Data Scientist at Ather Energy, rather than a specific candidate's personal experience. Ather Energy's data science team focuses on vehicle intelligence and web intelligence, evolving algorithms, providing data-driven solutions, and building automated scripts and interactive dashboards.

The interview process typically involves several stages:

• Technical Interview: This round tests basic AI and ML skills.
• Problem Statement and Dataset: Candidates are provided with a problem statement and dataset to evaluate their problem-solving skills and application of analytical thinking.
• Product Conceptualization: This stage assesses the ability to conceptualize building a product from algorithms.
• Learning Flexibility and Statistical Techniques: The final evaluation focuses on the candidate's learning flexibility and ability to apply statistical techniques.

Required skills for data scientists include a fundamental understanding of C++, Golang programming, system architecture, and proficiency in R markdown/Python/Grafana, SQL, No-SQL, and R or Python programming. Experience with the Internet of Things (IoT) and telemetry is a bonus.