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Plano

    Sr. Data Scientist - Plano, United States - Ascentt

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    Description
    We are looking for a highly skilled

    Data Scientist with extensive experience in forecasting,

    particularly in

    demand or sales forecasting

    . The ideal candidate will have a strong background in time series analysis, advanced machine learning models, and deep learning techniques. In addition, the candidate should have hands on experience of building ML solutions on AWS.


    Key Responsibilities:
    Fast-paced experimentation, development and implementation of

    advanced forecasting models

    for demand or sales forecasting.
    Utilize

    time series analysis, statistical methods,

    and

    machine learning algorithms

    to build accurate and scalable forecasting solutions.
    Design and

    develop global forecasting models

    that consider economic, demographic, historical trends, and other relevant factors.
    Work closely with cross-functional teams to gather requirements, analyze data, and deliver actionable insights.
    Collaborate with data engineers to deploy and integrate forecasting solutions into production systems.
    Conduct thorough evaluation and validation of forecasting models to ensure accuracy and reliability.
    Stay updated on the latest advancements in

    forecasting techniques, machine learning algorithms, and cloud technologies.


    Candidate's Profile:
    Master's degree in Statistics, Data Science, Computer Science, or related field.
    Minimum of 3 years of experience in data science, with a focus on forecasting.
    Strong proficiency in time series analysis, statistical modeling, and machine learning algorithms.
    Advanced experience with

    AWS services

    such as S

    ageMaker, S3, EC2, Lambda

    , etc.
    Demonstrated expertise in

    building and deploying ML solutions

    at scale, preferably in a

    cloud environment.
    Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment.
    Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.


    Great to have:

    • Familiarity with
    deep learning techniques

    for time series forecasting (e.g., LSTM, GRU).

    • Experience with
    big data technologies

    such as Spark.

    #J-18808-Ljbffr


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