Job Description:-
Collect, clean, and analyze large structured and unstructured datasets
Develop and implement machine learning models and statistical algorithms
Perform exploratory data analysis to identify trends, patterns, and insights
Collaborate with cross-functional teams (product, engineering, marketing, etc.) to define data-driven solutions
Present findings in a clear and actionable manner using visualizations and dashboards
Build and maintain data pipelines and model deployment workflows
Monitor and improve the performance of deployed models
Stay current with industry trends, tools, and technologies in data science and AI
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field
2+ years of experience in data science, analytics, or a related role
Strong programming skills in Python or R; familiarity with SQL
Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
Solid understanding of statistical methods, hypothesis testing, and experimental design
Experience working with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)
Familiarity with cloud platforms like AWS, GCP, or Azure (e.g., S3, Redshift, BigQuery)
Strong problem-solving skills and attention to detail
Excellent communication skills, both verbal and written
Any Graduate