Data Scientist - 4+ Years - Gurgaon

Data Scientist

Key Responsibilities:

• Develop and deploy machine learning models for classification, regression, and clustering problems.
• Perform statistical analysis to derive actionable insights from data.
• Design and implement predictive analytics solutions to support business decision-making.
• Design, build, and optimize data pipelines using Airflow.
• Ensure data quality, integrity, and availability through robust ETL processes.
• Work on model deployment using Python-based frameworks and containerization (e.g., Docker)
• Create interactive dashboards using Python libraries to visualize data and results.
• Collaborate with cross functional teams to understand business requirements and translate them into analytical solutions.

Required Skills & Expertise:

• Technical Skills:

• Proficiency in Python, advanced Python concepts (object-oriented programming, multi-threading, etc.), SQL and Excel.
• Hands-on experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

• Analytics and Machine Learning:

• Strong analytical skills and experience in predictive modeling.
• Hands-on experience with machine learning libraries like scikit-learn, TensorFlow or PyTorch.
• Ability to work with large datasets and extract meaningful insights to generate output
• Ability to work on ad-hoc requests to support business needs and derive actionable insights

• Data Visualization:

• Experience inn creating dashboards using Python libraries like Plotly, Dash, or Streamlit.

• Data Engineering:

• Knowledge of Airflow or similar workflow orchestration tools.
• Expertise in ETL processes and pipeline automation.

• Model Deployment:

• Familiarity with deploying machine learning models in production using Flask, FastAPI, or similar frameworks.
• Experience with containerization and orchestration tools (Docker, Kubernetes.)

• Tools and Platforms:

• Experience with version control tools like Git.
• Familiarity with cloud platforms like AWS, Azure, or GCP is a plus.

• Problem-Solving & Communication:

• Strong problem-solving skills, with the ability to translate complex analytical findings into clear and actionable recommendations.
• Excellent communication and presentation skills, with experience delivering insights to senior stakeholders.

Candidate Profile:

• Educational Background:

  Bachelors/Master’s degree in Analytics, Data Science, Economics, Statistics, Engineering, or a related field.

• Professional Experience:

  At least 5 years of experience in Data Science and Data Engineering.