Predictive Analytics Modeler
Full Time
Entry Level
1+ years
Posted 2 weeks ago
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The Predictive Analytics Modeler will develop and maintain predictive analytics and modeling solutions to drive strategic decisions for operations and website success. This role involves exploring the development of predictive models using machine learning and artificial intelligence.
Responsibilities
- Develops and maintains predictive analytics/modeling efforts and uses of analytics/modeling programs
- Designs models, coordinates data pulls, prepares/validates data, performs and validates the modeling and analysis, effectively communicates findings and provides actionable recommendations
- Collaborates with IT and business units to oversee implementation of work efforts and provides input to help design, monitor, and improve data structures and data warehouses
- Performs research of various areas of the company, including underwriting, claims and sales through the use of predictive modeling
- Manages projects to produce and update models on time, as required
- Stays current with industry trends through Industry seminars, conferences, committees, and/or self-study
Requirements
- 1+ years experience with predictive analytics or data analytics
- Proficient in SQL
- Excellent knowledge of relational database structure, programming concepts, external data sources, and complex data systems including data lakes
- Advanced SAS, R, Python skills or similar software
- Strong data mining and text mining proficiency with data gap and cleansing experience
Qualifications
- Bachelor's or higher in Statistics, Mathematics, Actuarial Science, Quantitative Economics, Computer Science/Engineering or other similar analytical field
- Minimum of 1 years' experience with predictive analytics or other data analytics. Education and Internships will qualify
Nice to Have
- Experience in Marketing Data Analytics
- Experience with Emblem
Skills
Python
*
SQL
*
Machine Learning
*
SAS
*
R
*
Artificial intelligence
*
Emblem
*
* Required skills
Benefits
Casual dress code
Sit to stand desks
Free on-site gym
On-site coffee shop and restaurant