Must have experience with Building large and complex deep learning models RNN, CNN, and Transformers which solve business use cases using different types of data image, text, and tabular data; Statistical and machine learning techniques, including regression, classification, and ensemble methods to provide valuable business insights from data; Sourcing, cleaning, manipulating, and analyzing large amounts of data using distributed computing like Hadoop, HIVE, Spark, and Big Query; Python, TensorFlow, Jax and Torch to implement customized deep learning models; Different machine learning and statistical libraries and packages like scikitlearn, stats models, prophet, NumPy and SciPy; Different time series forecasting techniques like ARIMA, SARIMA, HoltWinters and Sequence to Sequence methods; unsupervised machine learning techniques like Clustering, Auto Encoders and latentvariable models; Coding in objectoriented programming languages C, JAVA and Python; Statistical testing techniques sample size determination, determining test and control groups and performance metrics to evaluate performance of machine learning models; Exploratory data analysis using matplotlib, seaborn packages in Python and ggplot in R; Writing efficient data extraction and transformation queries using SQL; Feature extraction, feature selection, and techniques to control feature explosion using regularization and kernel methods; Building classical machine learning models using treebased techniques such as gradient boosting in Python; and Building deep learning models on a combination of textual and tabular data using PyTorch and keras. Employer will accept any amount of experience with the required skills.br br br Continuation of Section F. Prevailing Wage Information. A second PWD that relates to the same job listed was issued for an additional set of alternative requirements.br 1. Tracking # P10022314579216br 2. SOCONet OES code 152051br 3. Occupation Title Data Scientistsbr 4. Skill level IVbr 5. Prevailing wage 130,957 per yearbr 6. Prevailing wage source OESbr 7. Determination date 5112023br 8. Expiration date 892023br br Continuation of Section H.8 alternate combination of education and experience that is acceptable Masters degree or the equivalent in Statistics, Computer Science, or related field plus 1 year of experience in analytics or a related field; OR 5 years of experience in analytics or a related field.br br Continuation of Section H.10B acceptable alternate occupation Required experience experience in analytics or a related field.

Categories: eb3

0 Comments

Leave a Reply

Avatar placeholder

Your email address will not be published. Required fields are marked *