Data Scientist

Canvendor; Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Canvendor is seeking a Data Scientist in Bengaluru to join a hybrid team. The role focuses on turning messy time-series and telemetry data into actionable insights, building end-to-end models for anomaly detection, forecasting, and optimization.

The ideal candidate has 3+ years of experience, strong Python and SQL skills, and a solid foundation in ML/Deep Learning with an AI-first approach to productivity. Experience deploying models at scale is a plus.

Qualifications

• 3+ years of data science experience.
• Strong skills in time-series analysis and telemetry data.
• Experience deploying ML models at scale is a plus.

Responsibilities

• Work with large and messy time-series and telemetry data.
• Build ML models for anomaly detection, forecasting, and optimization.
• Use Python, SQL, Machine Learning, and Deep Learning.
• Apply an AI-first approach to improve productivity and solutions.
• Develop and deploy ML models for real-world applications.

Skills

Python

SQL

ML/Deep Learning

Job description

Job Title

Data Scientist

Years of Experience:

3+ Years

Work Mode

Hybrid

Job Summary

Key requirements:

• Core Focus: Strong problem-solver to handle messy time-series/telemetry data, hypothesis testing, and end-to-end model development (anomaly detection, forecasting, or optimization).
• Tech Stack: Proficient in Python, SQL, and ML/Deep Learning, with an AI-first approach to productivity.
• Plus: Experience in fleet/IoT/automotive data or deploying models at scale.

Key Responsibilities:

• Work with large and messy time-series and telemetry data.
• Build ML models for anomaly detection, forecasting, and optimization.
• Use Python, SQL, Machine Learning, and Deep Learning.
• Apply an AI-first approach to improve productivity and solutions.
• Develop and deploy ML models for real-world applications.

Good to Have:

• Experience with automotive, fleet, IoT, or vehicle data.
• Experience in deploying ML models at scale.
• Strong problem-solving and analytical skills.