Role
Required Technical Skill Set : Data Scientist
Desired Experience Range : 03 - 08 yrs
Notice Period : Immediate to 30Days only
Location of Requirement : Hyderabad / Kolkata / Bangalore / Chennai / Pune
We are currently planning to do a Virtual Interview
Job Description : Must-Have
Ideally should not be more than 3-5)
Proficiency in Python or R for data analysis and modeling.
Strong understanding of machine learning algorithms (regression, classification, clustering, etc.).
Experience with SQL and working with relational databases.
Hands-on experience with data wrangling, feature engineering, and model evaluation techniques.
Experience with data visualization tools like Tableau, Power BI, or matplotlib / seaborn.
Strong understanding of statistics and probability.
Ability to translate business problems into analytical solutions.
Good-to-Have
Experience with deep learning frameworks (TensorFlow, Keras, PyTorch).
Knowledge of big data platforms (Spark, Hadoop, Databricks).
Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP).
Familiarity with NLP, computer vision, or time series forecasting.
Exposure to MLOps practices for model lifecycle management.
Understanding of data privacy and governance concepts.
Responsibility of / Expectations from the Role
Work with stakeholders to identify business requirements and opportunities for leveraging data.
Design and implement advanced analytics models using machine learning and statistical techniques.
Clean, process, and analyze large datasets from various sources (structured & unstructured).
Develop, test, and deploy predictive models and data pipelines.
Create data visualizations, dashboards, and reports to communicate insights to non-technical users.
Collaborate with data engineers, analysts, and product teams to integrate models into production environments.
Monitor and continuously improve model performance.
Stay up-to-date with latest research, tools, and techniques in data science and AI.
Data Science • Bangalore Urban, Karnataka, India