Director, Predictive Analytics Valuations - Kelley Blue Book

Director, Predictive Analytics Valuations - Kelley Blue Book-130440

Description
Director, Predictive Analytics Valuations is responsible for leading a team of advanced analytics professionals in the development of new statistical based models and the ongoing maintenance of existing statistical models. The role will work closely with the Valuation Product group as a key subject matter expert to assist them with valuation strategy and ensuring our values continue to be the most relent and accurate in the industry.

Position Responsibilities:
- Developing advanced statistical models utilizing typical and atypical methodologies.
- Supervise the development and enhancement of data models for statistical modelling purposes, tracking results against actuals, and re-specify when required.
- Consult across Kelley Blue Book functional teams on how advanced analytic methodologies can be leveraged to address their business needs.
- Supervise/manage/direct the selection, training, development, appraisal and work assignments of personnel.
- Occasional overnight travel (up to 20%) by land and/or air.
- Performs other related duties as assigned.

Qualifications

Essential skills, knowledge and abilities:
- Must have at least 10 years experience performing advanced quantitative analyses.
- Strong background building and leading advanced analytic teams.
- Ability to manipulate, analyze, and interpret terabytes of data. Ability to organize findings and translate into actionable insights using original or innovative techniques or style.
- Ability to apply advanced statistical methodologies such as mixed model (random and fixed effects), simultaneous equations, time series based methods (ARIMA, Causal Autoregressive Mixed Models), neural networks, and multinomial discrete choice. Ability to apply mathematical operations to such tasks as cluster analytics, sampling theory and design of experiments, analysis of variance, correlation techniques, and factor analysis.
- Post Doctorate degree (PhD) or Master's degree (M. A.) and 5 - 10 years related experience and/or training; College degree must be in quantitative discipline (eg Math, Statistics, Economics, Bio-Statistics).
- Utilize complex computer operations (intermediate programming in 3rd and 4th generation languages, relational databases, and operating systems) and advanced features of software packages (word-processing, spreadsheet, graphics, etc.).
- Intermediate to advanced experience in Statistical Software (eg SAS, SPSS) and database applications.
- Working knowledge of SAS required.
- Must have relational database experience.
- Intermediate to advanced experience in Excel.
- Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community. Ability to write speeches and articles for publication that conforms to prescribed style and format. Ability to effectively present information to top management, public groups, and/or boards of directors.
- Ability to comprehend and apply principles of advanced calculus, modern algebra, and advanced statistical theory. Ability to work with concepts such as limits, rings, quadratic and differential equations, and proofs of theorems.
- Ability to define problems, collects data, establishes facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.
- Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with nonverbal symbolism (formulas, scientific equations, graphs, musical notes, etc.,) in its most difficult phases. Ability to deal with a variety of abstract and concrete variables

Non-essential skills, knowledge and abilities:
- Prior experience modelling automotive data preferred.

Job: Analytics
Primary Location: US-CA-Irvine
Schedule: Full-time