Roles & Responsibilities

• Extracting usable data from large amounts of information.
• Selecting features, creating classifiers, and developing algorithms.
• Preprocessing structured and unstructured data, and cleansing and validating its integrity.
• Sharing insights with stakeholders and being familiar with software like Tableau, R, and MatLab.
• Use machine learning and data science to study business and market trends, and create models to help businesses grow.

Required Experience

• Production experience (building pipelines, deployment, automation, scaling, cloud integration, monitoring, MLOPS practices).
• Good working knowledge of Cloud platforms (GCP preferred), and Airflow DAG development.
• Experience in measurement solutions (marketing mix, multi-touch attribution, campaign lift, etc.)
  
• Experience with advertising, measurement, and/or digital marketing analytics
  
• Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
  
• Experience in front-end languages (HTLM, CSS, JavaScript, etc.) and frameworks.

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