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Senior Data Scientist - Machine Learning


Annex India


Location

Cuttack | India


Job description

Job Role : Senior Data ScientistWFO and WFHProfile Understanding :Job description :- Lead a small group of DS developers in collaborate/streamline data science work with product, BA, MLOps. Cover tasks in DS model development/redevelopment and support the deployment into multiple markets for production purpose.- Leading the collaboration with MLOps to understand the need for industrialization, ensure smooth transition from DS development to industrialization by providing sufficient DS support.- Code development/redevelopment planning, provide direct support to DS developers in the execution.- Leading model tunning.- Ensure proper code standard are enforced, complete documentation is created and strong code management through version control. Leading regular code review together with the data scientist project lead.- Leading the testing/evaluation planning with the data scientist project lead. Establishing model evaluation and validation framework in the context of deployment. Creating standard test report structure.- Ensure production grade code is developed and maintained for quick roll-out purpose. High level of transparency and replicability is achieved.- Leading the planning of RCA for any issue identified.- Creating the monitoring plan for production.- Support the activities in the UAT with the end users.- Working as the contingency resource for development to ensure timely delivery.- Ensure a common code base is created for efficient roll-out in new market with highly modular architecture, well designed data abstraction, high configurability and high level of parameterization.Specialized In :- Data Analysis : Analyze large datasets to identify trends, patterns, and correlations that can provide valuable insights for the organization's strategic decision-making process- Machine Learning : Develop and deploy machine learning models for various business applications, such as predictive modeling, classification, recommendation systems, and anomaly detection- Model Validation : Assess and validate the performance of machine learning models through rigorous testing, evaluation, and tuning to ensure high accuracy and reliability- Data Visualization : Create clear and compelling data visualizations to present complex analyses and results to both technical and non-technical stakeholdersTechnical Skills :- Brings 4+ years of deep data science experience.- Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon, Databricks- Experience with programming languages such as Python, R, Spark- Strong understanding of data structures, algorithms, and software design principles, highly sensitive to algorithm complexity.- Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage- Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub.- Strong experience in development planning.- Good knowledge in coding standard, building re-useable services.- Experience in end-to-end data science project delivery (ref:hirist.tech)


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