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    Senior Applied Data Scientist - Chicago, United States - Burtch Works

    Burtch Works
    Burtch Works Chicago, United States

    2 weeks ago

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    Description

    Job Summary

    This role is responsible for the design, development, and deployment of advanced analytics solutions supporting companies strategic business priorities. This role will produce and train statistical models and algorithms and provide insights and user-friendly tools and capabilities to enable data-driven decisions by business stakeholders.

    Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.

    Job Requirements:

    · Proficient in Python, SQL, R

    · Experience developing machine learning algorithms

    · Experience working distributed computer tools preferably with one of the following Hive, Apache Spark, Impala and Scala

    · Experience in manipulating, analyzing, and interpreting large-scale data

    · Experience scaling analytics in the cloud preferably with Azure

    · Bachelor's degree in statistics, mathematics, econometrics, engineering, physics, or other quantitative field of study

    · 8+ years of relevant work experience

    · Experience mentoring or leading others

    · Expert knowledge of advanced analytical techniques, including multivariate statistics, forecasting, predictive modeling, network and cluster analysis, simulation, neural networks, sentiment analysis, and data aggregation

    Job Responsibilities:

    · Identify best analytical techniques to achieve Business Unit objectives; design, develop, and deploy advanced analytics solutions, including predictive and prescriptive outputs, analytical tools and visualization capabilities to enable business users to make data-driven decisions

    · Execute analytic activities supporting solution development, including data gathering, cleansing, and integration, statistical transformation and modeling, and feature engineering and selection

    · Apply analytical techniques, including linear/non-linear models, clustering, optimization, forecasting, machine learning, and neural networks

    · Collaborate with stakeholders and advanced analytics business partners to understand business needs and to identify and define advanced analytics solutions; effectively communicate results

    · Develop innovative solutions through deep understanding of internal and external data

    · Create appropriate standards and processes to ensure quality and consistency of Advanced Analytics solutions

    · Direct activities of third-party contractors / consultants for specific business projects

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