Job Title: Data Scientist with Google Cloud Platform Location: Bentonville, AR- Day 1 Onsite Hire Type: Long Term Contract SkillSet :
Pyspark, Dataproc, Spark, Python, Google Cloud Platform, Machine learning models, tensor flow, PyTorch - At least 8-10 years' experience in data science models. Below is the job description which would be ideal: 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.
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