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    Arkansas Blue Cross and Blue Shield is looking for a Data Scientist

    This a Full Remote job, the offer is available from: United States

    This offer from "Arkansas Blue Cross and Blue Shield" has been enriched by Jobgether and got a 77% flex score.
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    Arkansas Blue Cross is only seeking applicants for remote positions from the following states:

    Arkansas, Florida, Georgia, Illinois, Kansas, Louisiana, Minnesota, Mississippi, Oklahoma, South Carolina, Tennessee, Texas, Virginia and Wisconsin.

    Workforce Scheduling

    Flex

    Job Summary
    The Data Scientist uses the enterprise’s vast data repositories to identify key signals capable of predicting and optimizing the results of the enterprise’s business plan implementations. Incumbent exercises expert knowledge of available data, key business drivers, statistics, mathematics, and open-source software toolsets to derive relevant insights informing business decision-making. The incumbent regularly engages data mining… techniques (data discovery, exploration, extraction, modeling, and evaluation) alongside software engineering tasks (software integration, deployment, and maintenance) to accomplish these responsibilities.

    Requirements

    EDUCATION

    Bachelor’s degree in Math, Science, Statistics, Economics, Finance, Informatics, Computer Science, Information Systems, Health Information, Epidemiology, Data Analytics, Data Science, Predictive Analytics, Artificial Intelligence, Engineering, or Physics required.

    LICENSING/CERTIFICATION

    Any certification specializing in data engineering, big data, data science, machine learning, artificial intelligence, or statistical analysis from accredited institutions of higher learning. Consideration given towards completion of online-based learning and certifications involving related specialized skillsets upon review.

    EXPERIENCE

    Must meet the following:

    • Master’s degree and two (2) years of experience

    • PhD in an analytical field of study with one (1) year of experience

    Experience with the development of data science, machine learning, and/or advanced analytics implementations or the use of programming languages in Python, Java, R, Scala, SAS, or other analytical language to create predictive and/or prescriptive models.

    Specialized training in Data Engineering, Data Science, Machine Learning, Big Data Platforms (Spark, Kafka, Hadoop, H2O, etc.), High Level Programming in Data Engineering, Data Science, or Machine Learning (Python, Scala, Java, R, SAS for Data Science, etc).

    Knowledge of open-source application stack commonly used in data science workflows (Pandas, Spark, Sci-kit Learn, TensorFlow, Keras, etc.) preferred.

    Healthcare domain knowledge preferred.

    ESSENTIAL SKILLS & ABILITIES

    Work independently

    Critical thinking

    Decision making

    Written and verbal communication

    Machine Learning

    Managing Collaboration

    Managing Deadlines

    Structured Query Language (SQL)

    Data management

    Processing Programming Language

    ETL Design

    Open Source Technologies preferred.

    Parallel computing preferred.

    Healthcare preferred.

    API development preferred.

    Data transformation preferred.

    Machine Learning preferred.

    DICE

    Skills

    Responsibilities
    Assists in the development of machine learning pipelines and automate machine learning tasks as much as possible., Collaborates with team members (machine learning engineers and data analysts) to complete data pipelines for machine learning deployments, Debugs issues within machine learning pipelines and maintain their accuracy., Develops predictive and prescriptive models to assist business areas with decision-making on key initiatives of the Enterprise., Gathers and presents findings of models to other as necessary to assist understanding and explanation to the model., Identifies key data within available data that increases forecasting of performance., Monitors for data drift within models., Other duties as assigned., Stays abreast on machine learning techniques in the market through training and research.

    Certifications

    Security Requirements

    This position is identified as level three (3). This position must ensure the security and confidentiality of records and information to prevent substantial harm, embarrassment, inconvenience, or unfairness to any individual on whom information is maintained. The integrity of information must be maintained as outlined in the company Administrative Manual.

    Segregation of Duties

    Segregation of duties will be used to ensure that errors or irregularities are prevented or detected on a timely basis by employees in the normal course of business. This position must adhere to the segregation of duties guidelines in the Administrative Manual.

    Employment Type
    Regular

    ADA Requirements

    1.1 General Office Worker, Sedentary, Campus Travel - Someone who normally works in an office setting or remotely and routinely travels for work within walking distance of location of primary work assignment