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    Senior Data Scientist-W2 - Columbus, United States - SoftSages LLC

    SoftSages LLC
    SoftSages LLC Columbus, United States

    3 weeks ago

    Default job background
    Description
    Dear Ranjith,


    We are delighted to reach out to you on behalf of SoftSages Technology, a rapidly expanding IT and staffing company headquartered in Malvern, PA.

    We take immense pride in serving critical clients across various sectors, including federal, commercial, and healthcare industries.

    Our commitment to excellence extends beyond just our clients, as we firmly believe that our consultants are equally vital to our success.

    We are currently seeking dynamic individuals like yourself to join our diverse and inclusive team.

    At SoftSages, we foster an environment that promotes diversity, inclusion, and equality, valuing the unique perspectives and experiences each team member brings.

    As a part of our team, you will have the opportunity to work on exciting projects that drive innovation and make a positive impact.

    Attached, you will find a job description for a position that aligns perfectly with your skills and expertise.

    If you are passionate about contributing to a vibrant, collaborative, and forward-thinking work culture, we invite you to explore this opportunity further.

    Senior Data Scientist

    Columbus, OH

    Work hybrid 3 days a week onsite

    Skills

    Up-to-date knowledge of machine learning and data analytics tools and techniques
    Strong knowledge in predictive modeling methodology
    Experienced at leveraging both structured and unstructured data sources
    Willingness and ability to learn new technologies on the job
    Demonstrated ability to communicate complex results to technical and non-technical audiences
    Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
    Strategic, intellectually curious thinker with focus on outcomes
    Professional image with the ability to form relationships across functions
    Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
    Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
    Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
    Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
    Financial Services background preferred

    Experience


    1-3 years' work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.

    Education

    Master's degree in computer science, statistics, economics or related fields

    #J-18808-Ljbffr
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