Senior Data Scientist
18 hours ago
Essential Duties Include but are not limited to the following: - Apply machine learning, deep learning, and artificial intelligence techniques. - Use advanced analytics methods to extract value from business data. - Perform large-scale experimentation and build data-driven models to answer business questions. - Create hypotheses and experiments to identify hidden relationships and construct new analytics methods. - Develop and implement Markov decision process models and healthcare economic models. - Visualize information and develop reports on results of data analysis. - Influence product teams through presentation of data-based recommendations. - Spread best practices to analytics and product teams. - Implement new tools to make data analysis more efficient. - Ability to communicate complex results to technical and non-technical audiences. - Excellent verbal and written communication skills. - Support and comply with the company’s Quality Management System policies and procedures. Minimum Qualifications - Bachelor’s degree in computer science, data science, information technology, or related field. - 3+ years of professional experience working with large datasets for drawing business insights. - 1+ years of experience in a data science role. - Professional working knowledge of machine learning; including solving complex business problems, predictive modeling, leveraging both structured and unstructured data sources, relational databases, and SQL. - Professional working knowledge of statistics and modeling techniques. - Fluent in Python or R programming. - Demonstrated ability to learn new technologies. - Proficient in Microsoft Office. Preferred Qualifications - Master’s degree in science, technology, engineering, mathematics, or related field. - Experience in cloud environments. - Professional working knowledge of distributed computing and big data technologies, such as Spark or related technologies. - Professional working knowledge of statistical methodologies and tools (R, SAS, SPSS, etc.), mathematical optimization, control theory, and time-series analysis. - Professional working knowledge of Natural Language Processing, Information Retrieval, or Recommender Systems.
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Data Scientist
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