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    Sr. Data Scientist - Tampa, United States - TechOp Solutions International

    TechOp Solutions International
    TechOp Solutions International Tampa, United States

    1 week ago

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    Description

    Job Description

    Job Description

    We are seeking a talented and experienced Sr. Data Scientist to join our team. As a Data Scientist, you will play a crucial role in designing, developing, and implementing data science solutions to empower investigators and enhance our capabilities in extracting meaningful information and identifying anomalous patterns of activity.

    Work-Life Balance—Hybrid Position

    Responsibilities:

    • Collaborate with subject matter experts, team leads, and third-party vendors to define new features and functions for automation, aiding investigators in extracting meaningful information about a target and their surrounding network.
    • Design, code, test, and document data science microservices primarily in Python.
    • Support the integration of disparate bulk data sources into a unified database.
    • Develop and optimize graph traversal queries and analytic pipelines to support analyst use cases, ensuring smooth transition from development to test and production environments.
    • Extract valuable information from unstructured text, including SAR narratives and web scraped data related to cryptocurrency addresses and actors.
    • Generate synthetic data for testing and development environments, as well as for the MM capstone training, adapting to evolving MM training and data holdings.

    Requirements

    • Proficient in Python programming.
    • Experience with graph traversal languages such as Gremlin, Cypher, or GraphML, along with expertise in network analytics, including centrality, community detection, link prediction, pattern recognition, and blockchain analytics (Preferred).
    • Strong SQL or other relational database query experience.
    • In-depth knowledge of graph-structured data and analytics.
    • Familiarity with Natural Language Processing (NLP) techniques.
    • Background in financial and banking data analytics, including insights from data and unstructured data-information extraction.
    • Expertise in blockchain architecture and cryptocurrency data analytics.
    • Knowledge of GPS technology and its integration into analytical processes.
    • Experience with cloud platforms, specifically Amazon Web Services (AWS).
    • Understanding of machine learning algorithms and their application in cybersecurity analytics.

    Qualifications:

    • Bachelor's or advanced degree in Computer Science, Data Science, or a related field.
    • 5 plus years' experience in a similar role
    • Strong communication and collaboration skills.
    • Ability to work in a dynamic and fast-paced environment.
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