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Eagan

    Data Scientist - Eagan, United States - Diverse Lynx

    Diverse Lynx
    Diverse Lynx Eagan, United States

    3 weeks ago

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    Description

    Role:
    Data Scientist

    Location: Eagan, MN (Onsite)


    Duration:
    Fulltime

    Roles & Responsibilities:

    Job Description

    Data Scientist

    Responsibilities


    • Collecting data through means such as analyzing business results or by
    setting up and managing new studies


    • Transferring data into a new format to make it more appropriate for analysis
    • Searching through large data sets for usable information
    • Creating new, experimental frameworks to collect data
    • Building tools to automate data collection
    • Correlating similar data to find actionable results
    • Creating reports and presentations for business uses
    Skills Required


    • Statistics
    • Frequentist & Bayesian
    • C++, Python, R, PySpark, Juoyter Lab, Pycharm
    • Exploratory Data Analysis, Visual Analytics
    • Oracle, MySQL
    • Windows, Linux
    • A/B Testing
    • Hadoop, Spark, MLlib, Git
    • Design of Experiments (DoE)
    • Natural Language Processing (NLP)
    models


    • Pandas, Numpy, Matplotlib, Scikit[1]Learn, Scipy and NltkTK in Python for developing
    various machine learning algorithms.


    • Leadership and Communication Skills
    • Client Algorithms: LR, SVM, Ensemble Trees, Matrix
    Factorization, Neural Networks, Clustering

    Analysis, Dimensionality Reduction Algorithms,

    Optimization problems a plus

    Experiences


    • Experience in linear algebra, especially sparse systems
    • Experience in data munging, data cleansing, feature selection, feature engineering.
    • Developed Recommender Systems
    • Developed forecasting model to predict revenue using Python libraries.
    • Candidate should be very client oriented, proactive, innovative, problem solver
    Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination.

    All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role.

    We promote and support a diverse workforce across all levels in the company.
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