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