Description

You will develop and deploy data science solutions to drive analytical insights.

This role is hybrid.

Responsibilities

• Collect, clean, and preprocess large datasets for quantitative analysis and AI applications.
• Develop and implement machine learning models for predictive analytics, anomaly detection, and recommendation systems.
• Analyze and interpret complex data structures to derive actionable business insights.
• Collaborate with cross-functional teams to integrate AI solutions into workflows.
• Create data visualizations and dashboards to communicate findings to stakeholders.

Required Skills

• 3+ years of experience in data analysis, machine learning, and AI applications.
• High proficiency in SQL and quantitative programming (Python, R, MATLAB).
• Experience with AI/ML frameworks including TensorFlow, PyTorch, and SciKit-Learn.
• Strong knowledge of data visualization tools such as Tableau and Power BI.
• Familiarity with cloud computing platforms like AWS.
• Bachelor's degree in Data Science, Computer Science, Statistics, or Mathematics.

Preferred Skills

• Experience with Natural Language Processing (NLP) or Computer Vision.
• Knowledge of big data technologies such as Spark or Hadoop.

Key Skills

Education

Any Graduate