Senior Data Scientist

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.