Data Scientist

Job description:

    • Understanding and worked with database systems.
    • Understanding and worked with machine learning algorithms.
    • Perform feature analysis.
    • Develop ontology for key market segments.
    • Develop outcome/event taxonomy for key business models.
    • Build utility code and handle miscellaneous support tasks.
    • Documenting software projects and maintaining project documentation.
    • Working in a team environment as well as working alone.


    • Experience with Big Data, artificial intelligence, natural language processing, machine learning and/or deep learning.
    • Python programming skills with two (2) years or more of Python experience.
    • Good verbal and written communication skills.
    • Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
    • Master's degree or six (6) years related work experience delivering quality code on time.

Tools we use...

    • Confluence
    • JIRA
    • Spark
    • Azure
    • Python
    • Keras
    • Scikit-learn
    • Bit bucket
    • Jupyter Notebook
    • Scala
    • MonetdB
    • OrientDB

Nice to haves...

    • Experience in some subset of the following: Java, R, Python, SQL, Scala, Spark.
    • Ph. D. in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline.
    • Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, supervised learning, recommendation and optimization algorithms.

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