Omnicom - Data Scientist

Job location: [{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune","addressCountry":"IN"}},{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad","addressCountry":"IN"}},{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore","addressCountry":"IN"}},{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gurgaon/Gurugram","addressCountry":"IN"}}] Work arrangement: Employment type: FULL_TIME Salary: "" Experience requirements: {"monthsOfExperience":48,"educational":{"credentialCategory":"bachelor degree"}} Education requirements: "" 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). 2. BigQuery ML for quick-to-market predictive modeling. 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