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    Data Scientist - Atlanta, United States - MAU Workforce Solutions

    MAU Workforce Solutions
    MAU Workforce Solutions Atlanta, United States

    3 weeks ago

    Default job background
    Description
    We are seeking a highly skilled Data Scientist to join our team and contribute to driving growth and operational efficiency through data-driven insights and predictive analytics. The successful candidate will leverage their expertise in data science to develop robust experiments and models, analyze complex datasets, and provide actionable recommendations to inform critical business decisions. Collaboration across departments is essential for this role, as is staying updated on the latest developments in data science and machine learning technologies.

    Required Education and Experience
    • Typically requires a BS/BA in a related discipline
    • Generally 2-5 years of experience in a related field OR MS/MA and generally 2-4 years of experience in a related field
    • Certification is required in some areas
    General Requirements
    • Demonstrates skill in data analysis techniques by resolving missing/incomplete information and inconsistencies/anomalies in more complex research/data
    • Nature of work requires increasing independence; receives guidance only on unusual, complex problems or issues. Work review typically involves periodic review of output by a supervisor and/or direct customers of the process.
    • May provide general guidance/direction to or train junior level support or professional personnel
    Essential Functions
    • Support the development of robust experiments and models with high levels of rigor to ensure accuracy, reproducibility, and reliability of results
    • Utilize modern techniques in machine learning and software development for complex data analysis and predictive modeling
    • Participate in the development of both stochastic and deterministic prediction models, including exploratory analysis, time series forecasting, and classification tasks with detailed instruction and supervision
    • Work with open-source libraries such as LLMs, Transformers, ML, and forecasting packages to apply models to various datasets, extract insights, make predictions, and inform decision-making processes
    • Collaborate closely with senior team members while independently managing tasks, contributing to team efforts in addressing challenges
    • Stay updated with the latest developments in data science, machine learning, and big data technologies
    • Explore new tools and techniques to improve existing processes and contribute to innovation within the team
    • Leverage Azure Cloud services for data storage, processing, and analytics
    • Implement scalable solutions and manage large datasets effectively
    • Perform other tasks as required
    Work Environment or Working Conditions
    • Located in a comfortable indoor area
    • Any unpleasant conditions would be infrequent and not objectionable
    • Most of the time is spent sitting in a comfortable position with frequent opportunities to move about. On rare occasions, there may be a need to move or lift light articles
    • Typically requires overnight travel less than 10% of the time
    Work Environment or Working Conditions
    • Located in a comfortable indoor area
    • Any unpleasant conditions would be infrequent and not objectionable
    • Most of the time is spent sitting in a comfortable position with frequent opportunities to move about. On rare occasions, there may be a need to move or lift light articles
    Travel
    • Typically requires overnight travel less than 10% of the time
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