100% Remote: Sr. Or Lead Data Scientist with Supply Chain and Forecasting Experience - Retail Domain Experience at Remote, Remote, USA |
Email: [email protected] |
From: Prashant Yadav, Itecs [email protected] Reply to: [email protected] Position: Sr. or Lead Data Scientist with Supply Chain and Forecasting Experience Retail Domain Experience Location: 100% Remote (CST Time Zone) Key Skills: Machine Learning, Statistical Analysis, Python, Pyspark, Tensorflow, Keras, MLOps, GCP (Vertex AI, Kubeflow), Java microservices, Forecasting, Supply Chain Description: - Technical expertise in machine learning, deep learning, statistical analysis, and software development. - Proficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/Keras. - Experience working with large data sets and cloud computing (Hive, Spark, GCP, or Azure). - Proficient in coding SQL, Python, Java, or Javascript. - A proven track record of leading innovation such as Medium Blog, patents, or conference presentation is preferred. - Advanced degree (Master or PhD) in any STEM field plus 8+ years of related experience. - Ability to work in a fast-paced, iterative development environment. - Good communication skills, ability to work with cross-functional teams of technical and non-technical associates. - 3+ years of experience providing technical and architectural guidance in a technical lead or architect role. - Experience in MLOps is a plus. - Experience with GCP services like Vertex AI and Kubeflow are desirable but not required. - Exposure to core Java, spring suite of products, complex microservice integration design patterns, messaging and pub sub frameworks is a plus. - PySpark knowledge - Supply chain experience - Forecasting experience E-Mail Is The Best Way To Reach Me . Thanks N' Regards, Prashant Yadav IT & EBusiness Consulting Services Inc Fax: 866 977 7575 [email protected] https://itecsus.com/ https://www.linkedin.com/in/yadav-itecsus-b9551822b/ Keywords: artificial intelligence information technology |
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Wed Jan 17 00:27:00 UTC 2024 |