| Jr-mid level Data Scientist Need Only USC, GC, GC EAD, H4 EAD, OPT EAD and TN at Remote, Remote, USA |
| Email: [email protected] |
| From: Suresh, Tech Rakers [email protected] Reply to: [email protected] Title: Jr to Mid level Data Scientist Location: Remote Duration: 6+ Months Required: Minimum Qualifications: Experience with econometric modeling and statistical analysis. Experience with the implementation and creation of various models and algorithms including regression and statistical models. Knowledge of AI or machine learning techniques is desirable. Strong programming experience in Java and Python/R. Familiarity with SAS and with tools available in the AWS/Cloud environment. Proficiency in Unix/Linux environment. Knowledge of mortgage mathematics is highly desirable. Multifamily analytics and finance knowledge are big plus. Experience working with financial data, analytics and cashflows applications. Understanding of Credit Risk Model, Conservator Capital Framework (CCF), Credit Risk Transfer (CRT) a plus. Understanding agency prepayment models, MBS data, and the MBS market. Excellent communication skills, oral and written. Capable of explaining and documenting complex systems. Adheres to sound software development and data management practices. Conscientious attention to detail, accuracy, and efficiency in analytical work. Cross-functional business skills with excellent facilitation and communication skills, strong influencing skills, and ability to effectively present to and work with application team members Demonstrated strong analytical and problem-solving skills to conduct analysis independently to address complex economic or business problems. Embraces new technologies, enjoys making systems efficient and updating legacy systems. Preferred Qualifications: MS in Computer Science, Statistics, Math, Engineering, or related field, PhD preferred 3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems 1+ year of experience specifically with deep learning (e.g., CNN, RNN, LSTM) Demonstrated skills with Jupyter Notebook, AWS Sagemaker, or Domino Datalab or comparable environments Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment Knowledge in Python or C++ / C#, and SQL, object oriented programming, service oriented architectures Strong scripting skills with Shell script and SQL Strong coding skills and experience with Python (including SciPy, NumPy, and/or PySpark) and/or Scala. Knowledge and implementation experience with statistical and machine learning models (regression, classification, clustering, graph models, etc.) Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, Keras, Caffe, PyTorch, Theano, or similar Experience search architecture (ex - Solr, ElasticSearch) Thanks and Regards, Suresh Kumar, [email protected] Keywords: cplusplus csharp artificial intelligence rlang microsoft |
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| Fri Jan 05 19:57:00 UTC 2024 |