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    Data Scientist - Dallas, United States - Snipebridge

    Snipebridge
    Snipebridge Dallas, United States

    6 days ago

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    Description

    Job Description

    Job Description

    LOCATION - Must be located in/near Dallas-Fort Worth/Lewisville, TX area

    CLIENT

    Our client is a digital transformation company that helps businesses achieve non-linear growth by delivering exceptionally engineered experiences for customers and employees. The company combines human-centered design with the scale and accuracy of real-time analytics, AI, cognitive technology and automation.

    POSITION SUMMARY

    The client is seeking a Data Scientist with expertise in building machine learning models by mining datasets from various data sources. This role will be remote-based until post-pandemic. Thereafter, the selected candidate must be able to work out the Lewisville, TX office. Must have strong experience in Power BI, Predictive Modeling using R AND Python along with strong SQL capabilities. Ideally, the candidate should have a background in supporting data analytics for a bank.

    ROLES & RESPONSIBILITIES

    • Develop a machine learning model to solve the business problem.
    • Impact the bottom line: Analyze data to see beyond the numbers to drive sound decision-making.
    • Automate reports and dashboards, business operations, data science and analytics, MIS; automate processes via macro-enabled excels, and consolidate sheets.
    • Build suitable statistical data model required for business by mining datasets
    • Work with Remote Monitoring team to get feedback for building data model
    • Processing, cleansing, and verifying the integrity of data used for analysis

    REQUIRED SKILLS & ABILITIES

    • Technical Skillsets - Efficient in Power BI, Programming: R, Python, SQL; Database: SQL
    • Take the lead: Think critically, identify opportunities for improvement, and then work with global SMEs to integrate efficiencies into daily activities.
    • MUST have some experience in a client-facing role & some banking background too
    • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
    • Minimum 6+ years in Data Analytics, ideally in the banking industry
    • Having cloud experience is a plus
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