Data Scientist

Responsibilities :
 
Analyze structured and unstructured data to identify trends and patterns 
Develop, validate, and deploy machine learning models 
Perform data cleaning, feature engineering, and exploratory data analysis (EDA) 
Work with large datasets using tools like Apache Spark or SQL-based systems 
Build and optimize predictive models (regression, classification, clustering) 
Collaborate with cross-functional teams (engineering, product, business) 
Create dashboards and visualizations using tools like Tableau or Power BI 
Deploy models using APIs or cloud platforms such as Amazon Web Services or Microsoft Azure 
Monitor model performance and retrain when necessary 
 
Required Skills :
 
Strong programming skills in Python or R 
Experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch 
Solid understanding of statistics and probability 
Experience with SQL and databases 
Knowledge of data pipelines and ETL processes 
Familiarity with big data technologies (e.g., Hadoop, Spark) 
Strong problem-solving and analytical skills 
 

Preferred Qualifications : 
 
Experience with cloud platforms (AWS, Azure, or GCP) 
Knowledge of MLOps and model deployment practices 
Experience in NLP, deep learning, or recommendation systems