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  • Transportation Senior Data Scientist, Transportation Tactical Management - São Paulo - Amazon

    Amazon
    Amazon São Paulo

    há 1 mês

    Amazon background
    Descrição

    Transportation Data Scientist

    The Transportation Data Scientist plays a pivotal role in leveraging data analytics and machine learning techniques to derive actionable insights and inform strategic decision-making for transportation-related challenges. This role necessitates close collaboration with various teams, including transportation planning, engineering, and operations, to identify, collect, and analyze relevant data. The ultimate goal is to uncover patterns, trends, and predictions that can optimize transportation systems and services.


    Key Responsibilities:

    1. Collaborate with cross-functional teams to understand transportation challenges and identify data sources that provide valuable insights.
    2. Design and implement data collection, processing, and storage pipelines to gather and manage large-scale transportation data (e.g., traffic sensor data, vehicle telematics, rideshare data, infrastructure utilization).
    3. Develop advanced analytical models and machine learning algorithms to analyze transportation data and generate predictive insights (e.g., demand forecasting, route optimization, infrastructure maintenance planning).
    4. Visualize and present data-driven insights and recommendations to stakeholders, including transportation experts and decision-makers.
    5. Stay up-to-date with the latest trends, technologies, and best practices in transportation data science and analytics.
    6. Contribute to the development and improvement of the organization's transportation data strategy and capabilities.

    Salary:

    $120,000 - $180,000 per year


    Requirements:

    1. Data scientist experience.
    2. Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
    3. Experience with statistical models e.g., multinomial logistic regression.
    4. English skills for conversation.
    5. Experience with data visualization using AWS QuickSight, Tableau, R Shiny.
    6. Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).
    7. Experience as a leader and mentor on a data science team.
    8. Experience in optimization models for transportation.
    9. Experience working in the transportation industry or with transportation agencies.
    10. Familiarity with cloud-based data processing and storage technologies.
    11. Demonstrated ability to work in a collaborative, cross-functional team environment.


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Transportation senior data scientist, transportation tactical management