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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

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