Description

You will drive data insights by developing and deploying machine learning models and analyzing complex datasets.

Responsibilities

• Coordinate data conversations with stakeholders and explore data sources.
• Develop and deploy machine learning models to identify patterns and anomalies.
• Lead the data analytics process with the product team to gather insights and define solutions.
• Organize project steps and document findings using Jira and Confluence.
• Recommend pipeline changes to Data Engineering to optimize performance and data modeling.

Required Skills

• 5+ years of experience in data analysis or a related technical role.
• Proficiency in Python, R, and SQL for data manipulation and analysis.
• Expertise with cloud technologies, specifically Google Cloud Platform (GCP) and BigQuery.
• Hands-on experience setting up end-to-end data pipelines using Airflow.
• Strong experience with regression models, time series forecasting, and causal inference.
• Ability to write and run SQL queries against Data Lakes and BigQuery.
• Experience working within Agile methodology using Jira.
• Skill in gathering requirements and user stories from stakeholders.
• Familiarity with anomaly detection and various ML models/algorithms.

Key Skills

Education

Any Graduate