Senior Data Scientist - São Paulo, Brasil - Acendeo

    Acendeo
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    Descrição
    You will be joining a growing team, driven by innovation, experimentation, and a deep understanding of our customers.

    As a member of this team, you'll be working closely with your cross-functional partners across Product Management, Data Engineering, and Platform Engineering as we build next-generation products.

    Responsibilities ?
    Building best-in-class cognitive engines by leveraging sourced algorithms and machine learning models, performing comprehensive analysis ?
    Develop, train, and test models using data from electric cars, train, or airplanes for predicting faults, tracking, classification, and segmentation ?
    Using ML approaches to solve linear and time series problems ?
    Understanding of data collection and labeling design and execution ?
    Work with customers and leading teammates to develop operational concepts, system-level requirements, and interface definitions ?
    Writing requirements, developing test plans, and completing verification/validation procedures
    Requirements ?
    6+ years of experience and postgraduate degree in data science ?
    Heavy emphasis on numerical analysis in finding leading indicators in large data sets ?
    Deep experience developing/testing/scaling complex ML solutions using Neural Networks and Deep Learning ?
    Experience in data mining process, AI/ML techniques for market research, sales forecast, revenue prediction and customer purchase behavior modeling ?
    Experience in scripting with SQL, extracting large sets of data from internal database (Snowflake) ?
    Experience taking large features from requirements to productions. ?
    Proven track-record of teamwork and delivery
    Nice to have ?
    Phd in Data Science very much preferred ?
    Experience with dbt / data engineering ?
    Experience in a fast pace / high growth environment Close collaboration / development experience with data engineering and software engineering teams and visualizing data