Advanced Predictive Modeler

4 days ago

thrissur, India beBeeData Full time

Job Title: Senior Data Scientist We are looking for a highly skilled individual to lead our data science team in predictive modeling and machine learning. This role focuses on building and deploying advanced models to influence key business decisions.The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS. They will be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue.Responsibilities:Predictive Modeling & Machine Learning- Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.- Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment.- Perform model validation, tuning, and performance monitoring.- Deliver actionable insights from complex datasets to support strategic decision-making.Data Engineering & Cloud Computing- Design scalable and secure ETL pipelines using AWS Glue.- Manage and optimize data infrastructure in the AWS environment.- Ensure high data integrity and availability across the pipeline.- Integrate AWS services to support the end-to-end machine learning lifecycle.Python Programming- Write efficient, reusable Python code for data processing and model development.- Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch.- Maintain documentation and ensure best coding practices.Collaboration & Communication- Work with engineering, analytics, and business teams to understand and solve business challenges.- Present complex models and insights to both technical and non-technical stakeholders.- Participate in sprint planning, stand-ups, and reviews in an Agile setup.Preferred Experience (Nice to Have):- Experience with applications in the utility industry (e.g., demand forecasting, asset optimization).- Exposure to Generative AI technologies.- Familiarity with geospatial data and GIS tools for predictive analytics.Qualifications:- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.- 5+ years of relevant experience in data science, predictive modeling, and machine learning.- Experience working in cloud-based data science environments (AWS preferred).Required Skills:Machine Learning: Strong experience in machine learning algorithms, techniques, and tools.Cloud Computing: Proficient in cloud computing platforms, particularly AWS.Programming Languages: Expertise in Python programming language.Tools & Technologies: Familiarity with tools and technologies like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue.Qualifications:Education: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.Experience: 5+ years of relevant experience in data science, predictive modeling, and machine learning.Certifications: Relevant certifications in machine learning, data science, or cloud computing.Soft Skills: Excellent communication, collaboration, and problem-solving skills.

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