Data Scientist- ML & AB Job at Randstad (Bengaluru)

Job Description

As a Senior Data Scientist for Walmart Global Tech, you will play a key role in driving data-driven decision-making across multiple retail domains. You will design, build, deploy, and scale machine learning and Generative AI solutions that directly impact business performance.

Job Responsibility

Lead the development of ML and GenAI solutions to solve business problems in retail functions
Collect, validate, and synthesize large-scale datasets to support analytics and model development
Apply big data analytics and data science techniques to identify trends, patterns, and anomalies, and determine additional data requirements
Design, deploy, and maintain production-ready ML systems, including real-time and batch inference pipelines
Collaborate with business stakeholders to communicate insights, influence strategy, and drive data-backed decisions
Own the end-to-end ML lifecycle, including model training, evaluation, deployment, monitoring, and retraining

Requirements

Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related field with 5+ years of experience in data science
Proven experience deploying and managing AI/ML models
Hands-on experience implementing Generative AI-based solutions in production
Experience in scheduling jobs for automated training and inference of AI/ML models using airflow or any other workflow orchestration platform
Strong programming skills in Python and PySpark
Proficiency in SQL, relational databases, data warehouses, and BigQuery
Experience in building AB testing and causal inference solutions
Solid understanding of regression, classification, and unsupervised learning machine learning algorithms
Strong experience in data collection, data cleaning, preprocessing, and feature engineering
Proficiency in collecting data from different data sources, data cleaning, preprocessing, and feature engineering
Strong written and verbal communication skills, with the ability to present and explain complex concepts to both technical and non-technical audiences

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Data Scientist- ML & AB

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