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    Lead Data Scientists - Berwyn, United States - ENVESTNET FINANCIAL TECHNOLOGIES, INC

    ENVESTNET FINANCIAL TECHNOLOGIES, INC
    ENVESTNET FINANCIAL TECHNOLOGIES, INC Berwyn, United States

    3 weeks ago

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    Description
    Envestnet Financial Technologies, Inc. seeks Lead Data Scientists in Berwyn, PA. (100% telecommuting permitted)

    Duties:
    Propose and develop state-of-the-art mathematical data modeling techniques to solve real-world problems related to financial data. Implement these models in a scalable manner and integrate into Envestnet's tools and products. Responsible for hands-on data cleansing, transformation, and creating predictive models and classifiers.

    Synthesize actionable insights from the output of the machine learning techniques and present these insights as tangible business recommendation for business stakeholders.

    Guide a team of data modelers, data analysts and junior data scientists to develop various machine learning algorithms, stitch various stages of data analysis solutions into an end-to-end product.

    100% telecommuting permitted.


    This position requires a Master's degree in Computer Science, Data Science, Mathematics, Statistics, or related field plus 4 years of experience in Data Scientist or in a related occupation.

    In the alternative, employer will accept a Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or related field plus 6 years of experience in Data Scientist or in a related occupation.


    Experience must include the following:
    (1) Working with statistical modeling, machine learning, and data mining techniques; (2) Programming in Python; (3) Working with ML frameworks, including scikit-learn, Tensorflow, nltk, and sagemaker; (4) Shell programming; (5) Working with SQL; (6) Natural Language Processing and text analytics; (7) Working with huge datasets and big data technologies; (8) Managing junior data scientists. 100% telecommuting permitted.

    40 hours/week. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply Job ID# 41395.

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