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Jersey City

    Data Scientist - Jersey City, United States - Zealogics

    Zealogics
    Zealogics Jersey City, United States

    2 weeks ago

    Default job background
    Description

    Responsibilities:

    • Work with stakeholders, identifying opportunities for leveraging data to solve for business challenges.
    • Identify valuable data sources / data sets that can be leveraged to improve results.
    • Analyze data to interpret against business opportunity and discover trends and patterns.
    • Process, cleanse, and verify the integrity of structured / unstructured data used for analysis.
    • Research and implement custom statistical models and machine learning algorithms.
    • Execute analytical experiments methodically to evolve an idea into successful solution.
    • Coordinate with engineering and software development team to integrate model into continuous business / process / software cycle.
    • Present information using data visualization techniques.
    • Communicate results and ideas to key stakeholders / decision makers.

    Qualifications:

    • Masters Degree in Computer Science, Statistics, Applied Math or relevant field
    • 7+ years' practical experience as a Data Scientist with proven track record
    • Strong math skills (e.g. statistics, algebra, multi-variable calculus)
    • Expertise with R, SQL and Python; familiarity with Scala, Java or C++ is an asset
    • Extensive background in data mining and statistical analysis
    • Deep understanding of real-life applicability and limitations of machine-learning algorithms
    • Problem-solving aptitude
    • Analytical mind and business acumen
    • Excellent communication and presentation skills

    Skills and Experience:

    • Experience with B2B, Financial Industry, Asset Management, Sales & Marketing is highly desired
    • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
    • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
    • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
    • Expertise in querying Relational / No-SQL databases and using statistical programming languages like R, Python, etc.
    Rate range - $55-$60
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