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Dinan

    Senior Data Scientist - McLean, United States - Integriant Ventures Insurance Services, Inc.

    Integriant Ventures Insurance Services, Inc.
    Integriant Ventures Insurance Services, Inc. McLean, United States

    1 week ago

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    Description

    Job Description

    Job Description

    Summary/objective

    You will leverage statistical analysis, forecasting methods, product development, data visualization, and storytelling in this role. Day-to-day work will balance working as part of an enterprise-wide, cross-functional team and evolving long-term infrastructure and resources that increase operational resiliency over time.


    Essential Functions

    Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

    • Partner with stakeholders across Marketing, Sales, Operations, Engineering, Growth, and Finance to derive requirements, scope data services/systems and drive results
    • Lead end-to-end process including conception, development, production, deployment, and monitoring of data and machine learning models and services
    • Lead the team's work on pricing, recommendation, lead scoring, and customer retention
    • Provide technical leadership to other scientists/engineers working on data analytics projects and deliverables aiming at increasing customer LTV, targeted marketing, retention, and profitability
    • Manage data flows between all SaaS products and the data lake
    • Manage Data Pipelines to pipe operational data into AWS S3 Data Lake
    • Work with the Company's data analytics team to produce reliable reporting
    • Work on developing ML models for Customer LTV, Churn, and profitability
    • Work with marketing to develop models/algorithms for targeting optimal customer

    Competencies

    • Strong written and oral communication skills
    • Excellent analytical aptitude
    • Ability to quickly master a variety of software platforms
    • Highly organized and the ability to multitask
    • Experience working in a fast-paced, team-oriented, and deadline-oriented environment

    Supervisory Responsibilities

    None


    Work environment

    None. The worker is not substantially exposed to adverse environmental conditions as in a typical home office.

    Physical Demands

    Fingering; Hearing; Talking; Sedentary work; Grasping; Repetitive motions; The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.

    Travel required

    None


    Required education and experience

    3-5 years of experience in the following:

    • Prior experience applying machine learning to real-world data problems (targeting, pricing, recommendation, personalization, etc.) and deploying and scaling models into a production environment
    • Strong fundamentals in algorithms, statistics, and predictive modeling
    • Machine Learning (Supervised, Unsupervised, Deep Learning, Bagging, Boosting techniques)
    • Excellent Python skills and experience with ML libraries or platforms
    • AWS Cloud Technologies for ML/AI

    Work authorization/security clearance requirements

    Must be a U.S. Citizen


    Other duties

    Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time, with or without notice.


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