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Novi

    Data Scientist - Novi, United States - zobility

    zobility
    zobility Novi, United States

    3 days ago

    Default job background
    Utilities / Energy
    Description

    Job Title: Data Scientist

    Welcome to our company! We are looking for a skilled Data Scientist to join our team. Take a look at the job description below:

    • The Data Scientist utilizes a diverse range of data-focused skills, experience, deep technical and analytical problem solving, and team-centered solutioning for complex problems.
    • This position requires strong attributes for problem solving, data analysis, troubleshooting.
    • Collaborate with dynamic team of engineers, developers, and scientists who research and integrate algorithms to develop solution to address complex data problems and support development.

    Essential Job Functions:

    • Participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment and presentation of results.
    • Assess project requirements and develop data analysis algorithms.
    • Contribute to technical solutions and implement software analyses to unlock the secrets held by big data sets.
    • Responsible for Developing/supporting Artificial Intelligence, Machine Learning, and Data Science solutions for Product Development.
    • Rapidly prototype new ideas and methods to deliver quality code that is testable and concise.
    • Use AI/ML technologies to innovate solution to existing problems for the team.
    • Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables.
    • Fully proficient with common statistical and machine learning techniques and exhibit some knowledge of advanced modeling techniques and their application.
    • Work with Team members to craft an analytic strategy that meets their needs and delivers timely results.
    • Integrate relevant internal and external research findings to generate hypotheses and help Team members make informed decisions.
    • Participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment and presentation of results.
    • Setting up Experiments, Data acquisition, data processing, and report generation with visualization.
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