| Data Scientist at Bentonville (Hybrid) at Bentonville, Arkansas, USA |
| Email: [email protected] |
| From: John Richardson, Themesoft INC [email protected] Reply to: [email protected] Data Scientist Location : Bentonville Work site : Office (2-3 days per week) Need 10 years Experience. Tech Stack: Data scientist with GCP (Dataproc , BQ, GCS) and ML Ops deployment. Below is the job description: The Senior Data Scientist is responsible for end-to-end data science solutions for our data products. Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning Works closely with data engineers, analysts, ML Engineers and application developers to help build ML and statistics driven models. Have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people. Good at analyzing existing code, finding bugs in the existing solutions and recommending how to improve or enhance the baseline. Communicate complex models and analysis in a clear and precise manner coupled with actionable conclusions and recommendations. You have hands-on experience with Python, PySpark, SQL and the ability to write reusable and efficient code to automate machine learning pipeline and data processes. You have experience with deep learning library like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop. Have strong knowledge of Statistics, Machine Learning, Deep Learning and NLP/NLU. Have applied industry experiece in NLP/NLU, Forcasting and Anomaly detection solution development. Built solutions that are easy to integrate into external framework or existing platforms. You bring strong engineering mindset and exposure to software engineering principles, Agile methodologies. Functional knowledge of Google Cloud Platform or Azure Machine Learning Platform and their ML and compute components. Experience in Retail customer behavior analysis and designing algorithms on Hadoop ecosystem at scale Experience with data pipeline and workflow management tools: Airflow, Kubeflow & Kafka topic etc would be beneficial. Keywords: machine learning Data Scientist at Bentonville (Hybrid) [email protected] |
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| Wed Apr 10 01:39:00 UTC 2024 |