- Bachelor’s or higher degree in Computer Science, Electrical Engineering or a quantitative field, with a strong research orientation and at least

7 years of relevant experience in data science

- Deep expertise in modern machine learning techniques, mathematical foundations, and hands-on experience with leading ML frameworks (such as scikit-learn, Keras, TensorFlow, PySpark, MLlib, etc.)

- Extensive experience with distributed computing platforms and scalable data processing (e.g. Spark)

- Advanced programming skills, preferably in Python, Scala, or similar languages, with a track record of delivering robust, production-grade solutions

- Proven ability to lead and deliver large-scale machine learning projects end-to-end

—from problem definition, data exploration, and modeling, to deployment and production monitoring





- Demonstrated experience in mentoring junior data scientists, including setting technical direction and driving best practices

- Robust business acumen and the ability to translate complex data-driven insights into actionable strategies that create significant business impact

- Skilled in designing, executing, and scaling

A/B or multivariate experiments to validate and optimize data science solutions

- Excellent communication and stakeholder management skills, with experience collaborating across business, product, and engineering functions

- Proven track record of driving innovation and staying current with the latest advancements in machine learning and data science

📌 Lead Data Scientist (Bangalore Urban)
🏢 Teksands.ai
📍 Bangalore Urban