Data Scientist

Role & responsibilities

Job Title: Data Scientist

Experience: 68 Years
Primary Skill: Python for Data Science
Role: Data Scientist

Role Description

We are looking for an experienced Data Scientist with 6–8 years of experience in data science, machine learning, and Python-based data analysis. The candidate will be responsible for analyzing complex datasets, developing machine learning models, generating business insights, and supporting data-driven decision-making.

Key Responsibilities

• Develop and implement data science and machine learning models using Python.
• Perform data collection, cleaning, preprocessing, and exploratory data analysis (EDA).
• Apply statistical techniques to identify trends, patterns, and business insights.
• Perform feature engineering and model selection.
• Build, train, validate, and optimize machine learning models.
• Evaluate model performance using appropriate statistical and ML metrics.
• Work with structured and unstructured datasets.
• Create data visualizations and communicate analytical findings to stakeholders.
• Write efficient SQL queries for data extraction and analysis.
• Collaborate with engineering, business, and analytics teams to deliver data-driven solutions.
• Document models, methodologies, assumptions, and results.

Mandatory Skills

• 6–8 years of experience in Data Science
• Strong Python programming skills
• Hands-on experience with Python for Data Science
• Pandas, NumPy, Scikit-learn
• Machine Learning
• Statistical Analysis
• Exploratory Data Analysis (EDA)
• Feature Engineering
• Predictive Modeling
• Model Evaluation and Optimization
• SQL
• Data Visualization

Desirable Skills

• Deep Learning
• TensorFlow / PyTorch
• Natural Language Processing (NLP)
• Generative AI / LLM
• Cloud platforms – AWS / Azure / GCP
• MLOps and ML model deployment
• Jupyter Notebook