Data Scientist

6 days ago


Bengaluru, India Ananta Resource Management Full time

Key Responsibilities :- Apply statistical analysis, machine learning, and predictive modeling to develop business-driven solutions.- Build and optimize models for classification, regression, and causal inference.- Work with supervised learning methods including XGBoost, Ridge, ElasticNet, and Neural Networks.- Design and implement predictive analytics models for real-world use cases.- Apply causal inference and optimization techniques to derive actionable insights.- Collaborate with cross-functional teams (data engineers, business analysts, stakeholders) to integrate models into production systems.- Perform model validation, performance evaluation, and tuning to ensure scalability and accuracy.- Communicate findings and insights effectively to both technical and non-technical stakeholders.Skills & Expertise Required :- Strong knowledge in Machine Learning & Predictive Analytics.- Hands-on experience with models : XGBoost, Ridge Regression, ElasticNet, Neural Networks.- Expertise in causal inference and optimization methodologies.- Proficiency in Python/R for statistical modeling and data manipulation.- Experience with SQL and working with large datasets.- Solid understanding of statistical concepts, data visualization, and feature engineering.Preferred Skills :- Exposure to cloud-based ML platforms (AWS, Azure, GCP).- Knowledge of MLOps and deployment of models into production.- Familiarity with Big Data tools (Spark, Hadoop). (ref:hirist.tech)


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