Senior Data Analyst

5 days ago

alwar, India beBeeDataAnalyst Full time

Senior Data Analyst & Machine Learning ExpertWe are seeking an exceptional Senior Data Analyst & Machine Learning Expert to join our digital advertising team.As a key member of our analytics group, you will design and implement data-driven solutions that optimize ad delivery efficiency and maximize campaign outcomes.The ideal candidate will have strong technical skills in machine learning, data analysis, and programming languages such as Python. They will also possess excellent communication skills for collaborating with cross-functional teams and presenting analytical insights to stakeholders.This is a unique opportunity to work on cutting-edge technologies for high-traffic, low-latency systems and big data processing.Key Responsibilities:Develop and maintain large-scale data processing pipelines using BigQuery, Dataflow, and Pub/Sub.Design and implement machine learning models and optimization algorithms that drive ad delivery efficiency and maximize campaign outcomes.Collaborate with product, engineering, and operations teams to translate business requirements into actionable data solutions.Technical Requirements:Cloud-based infrastructure (e.g., GCP or equivalent)Big data tools (BigQuery, Dataflow, Pub/Sub)Distributed systems and real-time processingProgramming languages: Python, GoInfrastructure automation: Terraform, AnsibleMandatory Qualifications:5+ years of experience in data analysis and machine learning using Python and SQL.Proficiency with libraries such as Pandas, NumPy, scikit-learn, and visualization tools.Hands-on experience with large-scale data processing (Spark, BigQuery) and reproducible analytics workflows.Strong foundation in statistics, probability, and experimental design (A/B testing, causal inference).Experience building and deploying ML models (regression, classification, tree-based methods, basic neural networks) with robust evaluation strategies.Knowledge of digital advertising concepts (CTR/CVR prediction, bidding strategies, KPI optimization) or similar optimization domains.Practical experience in production ML systems, including monitoring and drift detection.Excellent communication skills for stakeholder collaboration and presenting analytical insights.Preferred Qualifications:Understanding of ad auction mechanisms (first-price/second-price, bid shading, reserve price optimization).Experience with advanced optimization techniques (Bayesian optimization, multi-armed bandits, reinforcement learning).Familiarity with creative optimization and generative AI for ad content.Knowledge of real-time streaming platforms (Kafka, Flink, Beam) and online inference systems.MLOps best practices (feature stores, CI/CD, containerization, monitoring).Cloud experience with GCP, AWS, or Azure.

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