| Direct Client Immediate Interview Role:Data Scientist Position:Remote Experience:15+ years at Remote, Remote, USA |
| Email: [email protected] |
| Role: Data Scientist Position:Remote Experience:15+ years Need Financial Experiece What Youll Need Bachelors degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or quantitative field required. Masters degree preferred. 2-3 years of relevant work experience with building and implementing machine learning models Excellent knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression, classification, clustering, outlier detection, novelty detection, decision trees, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks, deep learning and its various applications. Continuously follow the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies. Strong programming skills in Python and machine learning libraries (e.g., sklearn, lightgbm, xgboost, pytorch, tensorflow, keras, etc.) Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc. Effective communication skills and ability to explain complex models in simple terms Nice To Have Experience in a financial organization Experience with model documentation and delivering effective verbal and written communication Experience in working closely with Product, Engineering, and Model Risk Management teams Experience with AWS or GCP Solid knowledge of leveraging graph neural networks or GenAI to solve some practical problems Experience with graph databases Regards, Narasimha, Lead Recruitment G&S Tachyon, Inc. Email: [email protected] p: (847) 348-1020 (ext) 407 200 W Higgins Rd, Suite 302. Schaumburg, IL - 60195 Keywords: Illinois Direct Client Immediate Interview Role:Data Scientist Position:Remote Experience:15+ years [email protected] |
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| Tue Sep 10 19:19:00 UTC 2024 |