Data Scientist

To learn more about Arkansas Blue Cross and Blue Shield Hiring Policies, please click here. 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 SchedulingFlexJob 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 independentlyCritical thinkingDecision makingWritten and verbal communicationMachine LearningManaging CollaborationManaging DeadlinesStructured Query Language (SQL)Data managementProcessing Programming LanguageETL DesignOpen Source Technologies preferred.Parallel computing preferred.Healthcare preferred.API development preferred.Data transformation preferred.Machine Learning preferred.#DICESkills ResponsibilitiesAssists 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.CertificationsSecurity RequirementsThis 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 DutiesSegregation 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 TypeRegularADA 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.

#J-18808-Ljbffr