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    Data Scientist - Trenton, United States - airisData

    airisData
    airisData Trenton, United States

    2 weeks ago

    Default job background
    Description
    airisDATA Inc., is a startup system integration company focused primarily on Hadoop data engineering and machine learning services.

    We take pride in our team of passionate data engineers, machine learning specialists, and data administrators who build, run, and deploy data solutions on large scale Hadoop clusters.

    Position overview

    Position:
    Data Scientist


    Terms:
    Full Time Permanent

    Location:
    Princeton, NJ; New York, NY.

    Work Status:
    Authorized to work in the U.S without Sponsorship
    Do you love large scale data technologies that shape the next generation of data driven business?
    Are you an individual with an entrepreneurial spirit, a can do attitude, engineer at heart, and enjoys the adrenaline rush in solving a business challenge?

    If yes, we would love to chat with you about your passion, vision, and experience.
    What could you expect?
    A dynamic role with a diverse set of customers, various industry domains, and challenging solutions
    Flat organizational structure with significant opportunity for advancement and leadership
    Open culture where commitment, respect, and open communication are essential
    Perfect balance of creativity, innovation, analytical thinking, and rolled-up sleeves
    Requirements
    Our ideal candidate has a background in distributed applications, data warehousing, and databases. The candidate is highly proficient in hadoop ecosystem, and Apache Spark big data stack.

    The candidate has strong programming skills in Scala, Java, Python, SQL and has an expertise in statistical algorithms for data analysis.

    M.S in Computer Science, Statistics, Machine learning or Applied Math. PhD preferred.
    2+ years in ML algorithmic design, predictive modeling, and recommender systems.
    Experience implementing Regression, Bayesian, Decision Trees, Random Forests, SVM, Clustering, Instance based methods, Association Rules, Dimensionality Reduction etc.,
    Strong hands-on programming experience in R, Python, Java (Scala a plus)
    Experience using Apache Hadoop 2.0 ecosystem and Apache Spark a plus
    Familiarity with open source Python based ML libraries and H2O are a plus
    Top-down thinker, excellent communicator, and great problem solver
    Nice to Have
    Knowledge of big data architectures and technologies ( Spark

    preferred).
    Expertise in leading cloud technologies like Amazon Web Services.
    Certified in Hadoop (Cloudera or Hortonworks) and Apache Spark.
    Experience in any NoSQL databases including HBase, Accumulo, Cassandra and Neo4J.
    Domain expertise in a couple – Telecommunication, Digital Media, Digital Advertising, Finance, Retail.

    #J-18808-Ljbffr
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