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Urgently required..........Lead Data Scientist with Supply Chain and Forecasting Experience - 100% Remote at Remote, Remote, USA
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SAPNA,

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Urgent need from Dollar General.  Any visa. Phone + Video interview. . 100% Remote for US Location to work in CST Timezone.

10+ years real time genuine candidates required with good attitude and heads down coding expertise.

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Position: Sr. or Lead Data Scientist with Supply Chain and Forecasting Experience  

Location: TN. 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 10+ 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

Keywords: artificial intelligence trade national Tennessee
Urgently required..........Lead Data Scientist with Supply Chain and Forecasting Experience - 100% Remote
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Fri May 17 12:23:00 UTC 2024

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