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• Develop and implement advanced data science models, including clustering, segmentation, random forest, gradient boosting (e.g., XGBoost), ensemble techniques, and constrained optimization methods.
• Explore additional approaches such as neural networks, support vector machines, and Bayesian methods to address diverse business challenges.
• Design and execute matched-pair analyses, predictive analytics, and other statistical approaches to address business challenges.
• Collaborate with stakeholders to identify use cases for advanced modeling and provide data science-driven solutions.
• Engineer features and preprocess data to optimize model performance and interpretability.
• Work with large datasets from diverse sources, ensuring data quality and consistency.
• Perform model evaluation, tuning, and validation using appropriate techniques and metrics.
• Deploy machine learning models into production environments, ensuring scalability and reliability.
• Mentor and collaborate with team members to share knowledge and best practices.
• Stay current on advancements in data science, tools, and methodologies to bring innovation to the team.
Qualifications
• 4–8 years of work experience in classification, regression, clustering, association, dimension reduction, natural language processing (NLP), experiments, and optimization.
• Proficiency in Python or R, with strong experience in libraries such as scikit-learn, TensorFlow, PyTorch, or similar.
• Advanced knowledge of machine learning algorithms, statistical modeling, and data preprocessing techniques.
• Strong foundation in mathematics, statistics, and computer science.
• Proficiency in SQL for data extraction and manipulation.
• Demonstrated ability to handle complex datasets and derive actionable insights.
• Excellent communication and collaboration skills to work with cross-functional teams.
• Experience deploying models into production environments is highly desirable
Thanks, and Regards
Desk-6093602673Extension-125
www.ampstek.com
https://www.linkedin.com/company/ampstek/jobs/
Ampstek – Global IT Partner
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