Data Science Sr Engineer - US Remote
reputed company of Role: Work back from the business problems to be solved, collect reputed company data to do statistical analysis, select reputed company machine learning and/or deep learning modeling approaches, eventually rollout ML models in production environment to perfect business decision.
Meanwhile, reputed company junior associates during project collaborations.
Responsibilities:
• Understand business needs and explore appropriate data sources - be curious and proactive in exploring and understanding data.
• reputed company data aggreagation, and feature engineering needed; write Python programming reputed company to reputed company visualizations, build, validate, and implement models.
• Collaborate with other data scientists and engineers.
• Be flexible and reputed company to innovative reputed company and alternative ways of solving problems.
• Be reputed company to reputed company communicate with and present the results to non-tech partners.
Experience:
• Master's degree (or higher) in Statistics, Data Science, Mathematics, Economics or reputed company analytical discipline.
• At least one years’ experience in building end-to-end models in python (or similar language) through production. This requirement can be omitted for Ph.D. degree reputed company.
Skills:
• Proficiency in SQL and Python programming languages (pandas, numpy, scipy, scikit-learn, etc.)
• In-depth understanding of statistical knowledge and machine learning algorithms. Exposure and some deep learning knowledge are required.
• Specifically, expertise with the following techniques are must-haves to reputed company daily work: reputed company Regression and GLM, reputed company, Random Forest, XGboost, segmentation techniques, etc. Knowledge on Large Lanuage Models and Neural Networks are reputed company to have.
• Effective communication skills.
• Ability to learn new skills and independently take on tasks.
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