Description

You will apply advanced analytical techniques and machine learning to drive data-driven decision making.

Responsibilities

• Translate business needs into actionable analytics and reporting requirements.
• Leverage ML and LLM technologies to extract insights from complex datasets.
• Manage the full machine learning lifecycle, including feature engineering, training, validation, scaling, deployment, and monitoring.
• Apply supervised and unsupervised learning techniques for classification, forecasting, anomaly detection, and pattern recognition.

Required Skills

• 7+ years of experience in data science or a related role.
• Master’s degree or PhD in Computer Science, Statistics, or Applied Mathematics.
• Proficiency in Python or R for analytical programming.
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Deep understanding of Natural Language Processing (NLP).
• Expertise in descriptive statistics, optimization, cluster analysis, and pattern recognition.
• Experience with SQL for data processing.
• Proficiency in data visualization tools like Tableau or Power BI.
• Experience working in GCP cloud environments and using Databricks or Spark.

Key Skills

Education

Master’s degree or PhD in Computer Science