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Data Scientist / ML Engineer for LENOVO



    Сloud-based, AI-driven SaaS solution using advanced predictive analytics and proactive device insights to monitor your fleet’s performance. The solution gives IT teams the tools to predict, diagnose, and prevent common PC health and performance problems, at scale, improving employee uptime and productivity.

    The platform collects analytics from different devices and predicts when they need maintenance using Data science.

    We need a hero:

    • who has played a role at a Lead /arch level and has been involved with dealing with data at scale in PROD
    • who is able to analyze, assess, document, and design scalable and sustainable data architecture and data transformation processes within a large analytics pipeline
    • who will review the implementation of improvements to the data architecture, providing feedback and guidance to product developers, data scientists, and product owners
    • is about to collaborate with various teams/regions in driving facilitating data design, identifying architectural risks, and developing and refining data models and architecture frameworks.

    Required skills:

    • At least 5 years of experience working on data science/machine learning problems (teaching experience excluded)
    • Knowledge of a variety of machine learning techniques (clustering, random forests, neural networks, etc.) and their real-world advantages/drawbacks
    • Experience working with ML frameworks (Pytorch, Tensorflow) and libraries (Scikit-learn, Pandas)  
    • Experience working in Python 
    • Experience working in Data frameworks such as Spark, Hadoop, HDFS 
    • Experience with OOP software engineering practices

     Nice to have:

    • Experience with Kaggle competitions (https://www.kaggle.com/competitions)
    • Knowledge of Apache Airflow
    • Knowledge / experience with AWS tools
    • Experience working in IoT or predictive maintenance domain 
    • Experience with data visualization (any open source tools)

     Quarantine is not a reason to pause your life. Send your CV to [адрес скрыт] or fill in the online CV today and have your online interview scheduled.