Omnicom - Data Scientist - Google Cloud Platform

Job Title : Data Scientist Required Experience : 4 - 8 years Shift timing : 4pm - 1am Job Location : Pune/Hyderabad/Bengaluru/Gurgaon - Hybrid (3 days WFO/2 days WFH) Position Overview : We are looking for a Data Scientist to join our team and help us turn complex data into actionable business insights. The ideal candidate will have a deep understanding of statistical modeling and machine learning, coupled with hands-on experience in the Google Cloud Platform (GCP) ecosystem. You will be responsible for building end-to-end ML pipelines - from data ingestion in BigQuery to model deployment and monitoring via Vertex AI. Key Responsibilities : - Data Exploration & Strategy : Mine and analyze data from company databases (BigQuery) to drive optimization and improvement of product development, marketing techniques, and business strategies. - Model Development : Develop custom data models and algorithms to apply to data sets (supervised/unsupervised learning, NLP, computer vision, etc.). - GCP Implementation : Utilize Vertex AI for training and deploying models at scale. Leverage Dataflow or Dataproc for large-scale data processing. - Collaboration : Coordinate with different functional teams to implement models and monitor outcomes. Work closely with Data Engineers to ensure data quality and pipeline efficiency. - A/B Testing : Design and execute A/B testing frameworks to evaluate model performance and product changes. - Visualization : Build automated dashboards and reports using Looker or Looker Studio to communicate findings to stakeholders. Required Technical Skills : - Programming : Mastery of Python (Scikit-Learn, Pandas, NumPy) and/or R. - SQL Mastery : Advanced SQL skills, specifically optimized for BigQuery (using standard SQL and ML functions). - GCP Ecosystem : 1. Vertex AI (AutoML, Training, Pipelines, and Model Registry). - GCP Ecosystem : 2. BigQuery ML for quick-to-market predictive modeling. - GCP Ecosystem : 3. Cloud Storage and Cloud Functions for event-driven data tasks. - MLOps : Familiarity with CI/CD for machine learning (Kubeflow or Vertex AI Pipelines). - Deep Learning : Experience with TensorFlow or PyTorch (bonus if you've used Google's TPU infrastructure). - Education : Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related quantitative field. - Experience : 3+ years of professional experience as a Data Scientist. - Certification (Preferred) : Google Professional Data Engineer or Professional Machine Learning Engineer certification.