Description

Job Description:-

Key Responsibilities:

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

Required Skills & Qualifications:

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

Education

Any Graduate