Specialist – Analytic Scientist
| Company | Nationwide |
|---|---|
| Location | Columbus, OH, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level |
Requirements
- Must have experience building and deploying machine learning and/or statistical models.
- Must have knowledge of multiple quantitative research and analysis approaches and their tradeoffs.
- Must be proficient in programming languages such as Python, R, SQL, or any other transferrable language (MATLAB, Java, etc.).
- Must possess strong communication skills for reading/writing/speaking about predictive modeling to stakeholders.
- Must demonstrate passion, inquisitiveness, creativity, and self-starter qualities.
Responsibilities
- Completes well-defined objectives associated with the design, development, implementation, and monitoring of statistical and machine learning models independently.
- Works with business partners to craft an analytic strategy that meets their needs and delivers timely results.
- Integrates relevant internal and external research findings to generate hypotheses and help business partners make informed decisions.
- Applies advanced quantitative techniques to analyze any given data structure.
- Builds predictive and explanatory models to generate actionable insights and practical solutions to business problems.
- Crafts deliverables that provide clear and concise summaries of findings and recommendations using impactful storylines and data visualization geared to both technical and non-technical audiences.
- Upholds a high standard for methodological rigor, sound statistical inference, and robust model validation.
Preferred Qualifications
- Preferred undergraduate or graduate studies in statistics, engineering, math, quantitative social science disciplines or related areas.
- Typically, three or more years of related experience in a relevant field.