
Senior Data Scientist
3 weeks 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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