Description

You will drive data strategy and analysis for large-scale AI/ML initiatives, owning the lifecycle from data acquisition to model deployment.

This role is on-site.

Responsibilities

• Acquire, clean, and preprocess data from various sources to prepare it for modeling.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Design and implement data pipelines for efficient processing and model training.
• Collaborate with data scientists to design, evaluate, and monitor machine learning model performance.
• Work with engineering teams to ensure data infrastructure meets project requirements.

Required Skills

• 4-5 years of experience in data analysis with a focus on AI/ML projects.
• Proficiency in Python, R, and SQL.
• Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Experience with big data technologies like Hadoop or Spark.
• Proficiency with data visualization tools like Tableau or Power BI.
• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.

Preferred Skills

• Degree in Data Science or Machine Learning.
• Experience with cloud platforms including AWS, Azure, or GCP.
• Knowledge of advanced statistical techniques and modeling.

Key Skills

Education

Bachelor's degree in Computer Science, Data Science