The business is looking to solve complex data analysis problems to drive business decisions.
Requirements
- Basic expertise in data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.
- Ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques.
- Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g., machine learning, statistical packages, modeling, etc.).
- Knowledge of data analysis, data engineering, visualizations, and forecasting.
- Scripting skills for data query and data management.
- Data visualization skills.
- Machine learning skills.
Responsibilities
- Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
- Executes analytical procedures in the framework of a specific project work request.
- Modifies scripts or software applications to support data management, data extraction and data analysis as required.
- Contributes to the interpretation of data analysis and to writing reports.
- Presents findings in easy to understand terms for the business or clinical practice.
- Develops predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques.
- Applies problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies.
Other
- Bachelor’s degree in a domain-relevant field such as engineering, mathematics, computer science, statistics, physics, data science, health science, or other analytical/quantitative field.
- Interpersonal skills and time management skills are required.
- Strong analytical skills and a commitment to customer service.
- Ability to work with subject matter experts and communicate findings in easy to understand terms.
