Job Description

Key Responsibilities:

Bringing together information from different sources, cleaning it, and making sure it's ready for analysis Examining large datasets, both structured and unstructured, to spot patterns, trends, and unusual findings Creating machine learning models and algorithms, then testing them to ensure accuracy and effectiveness Using statistical methods to build models that can forecast outcomes and support better planning Simplifying tasks and processes through programming and AI tools Turning results into clear reports, dashboards, and visualizations that make insights easy to understand Working closely with different teams to make sure data-driven insights are put into action

Key Requirements:

4+ years of professional experience as a Data Scientist or in a similar role. Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch). Advanced proficiency in SQL for data manipulation and extraction from databases. Solid understanding of machine learning techniques, statistical analysis, and experimental design. Demonstrated experience with big data frameworks and cloud platforms (e.g., Spark, AWS, Azure, GCP). Experience with Natural Language Processing (NLP) or Computer Vision techniques. Familiarity with MLOps processes and tools for model governance and deployment (e.g., MLflow, Docker, Airflow).
Job Types: Full-time, Permanent

Ability to commute/relocate:

Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Preferred)
Application Question(s):

What is your total relevant experience in data scientist role? What is your notice period? What is your expected CTC? What is your current CTC?
Work Location: In person