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Key Responsibilities: • Develop, optimize, and maintain scalable data science and machine learning solutions using Python • Apply object-oriented programming (OOP) principles to build clean, modular, and maintainable code • Refactor and improve existing codebases for better performance, scalability, and readability • Analyze large and complex datasets to generate actionable insights • Collaborate with cross-functional teams including engineering, product, and business stakeholders • Design and implement solutions for real-world supply chain challenges (e.g., forecasting, optimization) • Integrate and utilize LLM APIs/endpoints where applicable • Utilize Object-Oriented Programming principles to create scalable software solutions while managing version control effectively using GitLab. • Demonstrate exceptional problem-solving capabilities by addressing challenging technical issues and providing effective resolutions.
Qualifications (Skills/Competencies): • 5+yrs experience in Data Science. • Proficiency in Python scripting, with a strong grasp of Object-Oriented Programming (OOP). • Excellent analytical thinking and problem-solving skills, with a proven ability to work collaboratively in a team environment. • Strong communication skills, capable of conveying complex technical concepts to non-technical stakeholders. • Experience with GitLab for version control and collaboration on software projects. • Demonstrated adaptability and creativity in addressing challenges and finding innovative solutions. • Knowledge ofGenerative AI, LLM,
Job ID: 147471911
Skills:
React, Flask, Python, multi-touch attribution, distributed cloud-computing data science platforms, Shiny, R, Streamlit, marketing mix modeling
Skills:
Recommender Systems, BigQuery, Machine Learning, Python, Sql, Statistical Analysis, search relevance modeling, Optimization, experimentation frameworks
Skills:
Advanced Analytics, Ml, Machine Learning, Sql, Python, scalable data architectures, Generative AI, R, cloud-based data platforms, Ai
Skills:
Pyspark, Tensorflow, System Design, Python, Computer Vision, Recommendation engines, Generative AI, Vector DBs, Torch, Graph Knowledge Bases, Image Understanding models, Large-scale Search systems
Skills:
Cassandra, Pyspark, Tableau, Svm, Tensorflow, Numpy, Python, Hadoop, HBase, Sql, Naive Bayes, Artificial Neural Networks, Hive, Pandas, XGBoost, Spark, Databricks, MongoDB, Keras, Aws S3, machine learning techniques, k-NN, Decision Forests, Map Reduce, Credit Risk, NoSQL databases, Scikit-learn, SageMaker, collections management, Athena
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