Data Scientist

The Data Scientist performs data analysis to extract knowledge or insight from structured or unstructured data. This position will apply advanced statistical algorithms for analysis of large- scale, complex datasets. This position will keep up to date with cutting-edge techniques in programming, machine learning, big data, and healthcare modeling and will seek ways to advance the organization's capabilities in analytics.

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.
• Articulate a vision and roadmap for the utilization of data as a valued corporate asset.
• 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 work with minimal supervision.
• Ability to work in a highly collaborative environment.
• Ability to communicate complex results to technical and non-technical audiences. Excellent verbal and written communication skills.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company's Quality Management System policies and procedures.
• Regular and reliable attendance.
• Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 80% of a typical working day.

Minimum Qualifications:

• Bachelor's degree in computer science, data science, information technology, statistics, economics, or related field.
• 3+ years of experience working with large datasets for drawing business insights.
• 3+ 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.
• Demonstrated ability to perform the Essential Duties of the position with or without accommodation.

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.