Advisory Data Scientist
Job Number 170552
Brand NextGear Capital
The Advisory Data Scientist can be located in Carmel, IN or Atlanta, GA with 30% travel to Carmel.
The Data Scientist will gather and analyze data to solve and address highly complex financial risk business problems and evaluate scenarios to make predictions on future outcomes and provide predictive and prescriptive solutions that support decision making. The Data Scientist will be involved in all phases of financial analytic projects including question, formulation, design, research and development, proofs-of-concept and prototypes, and implementation and testing. Assist with special studies and analyses for unique business problems and scenarios. Proactively identify algorithms or products with high intellectual property content, evaluate their potential for patents, where appropriate assist in patent applications, and ensure intellectual property protection for Cox Automotive.
SPECIFIC RESPONSIBILITIES (INCLUDE BUT ARE NOT LIMITED TO):
Independently create and formulate mathematical models using advanced analytical methods in descriptive, predictive, and prescriptive mathematical modeling.
Design and create advanced value-based models in support of product pricing, risk assessment, quantitative finance, and revenue optimization.
Design and develop risk-based models and analytics.
Design, develop, and implement mathematical models in relevant computer programming language and environment.
Independently identify and define required data; collaborate with information technology, colleagues, business owners, approved third-party vendors, and other stakeholders in acquiring and understanding the data used to support mathematical models.
Independently evaluate and assess third-party vendors and consultants’ mathematical models for accuracy and relevance to Cox Automotive products and services. Where appropriate, develop statements-of-work, and provide validation oversight, for third-party deliverables in predictive and prescriptive solutions.
Verify, validate, and test models for accuracy, adequacy, and relevance in solving business problems; reformulate models as needed to meet changing business requirements.
Development, research, and exploration in the areas of statistics, machine learning, experimental design and operational research.
Research and evaluate new analytical methodologies, approaches and solutions.
Analyze customer and economic trends that impact business performance and recommend ways to improve outcomes.
Developing best-in-class predictive and prescriptive models and decisions tools to address business needs.
Design and deploy data-science and technology based algorithmic solutions to address business needs for Cox Automotive.
Identify, understand and evaluate new commerce analytic and data technologies to determine the effectiveness of the solution and its feasibility of integration with Cox Automotive’s current platforms.
Communicate findings to team and leadership to ensure successful implementation of projects into business processes.
Cooperatively work with team members within the department.
REQUIRED EXPERIENCE AND QUALIFICATIONS
Must have at least 10 years’ experience performing advanced quantitative analyses.
Ability to manipulate, analyzes, 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, ARIMA, 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.
Ability to design and apply advanced optimization methodologies such as linear and mixed integer optimization.
Ability to design and apply advanced simulation modeling methodologies and techniques.
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 (e.g. R, SAS, or SPSS) and database applications.
Working knowledge of SAS strongly desired.
Relational database experience strongly desired.
A strong passion for empirical research and for answering hard questions with data.
Experience in working with executives or strategic planning departments to set and/or manage to corporate level strategies a plus.
Experience with business support software applications such as MS Office (Word, PowerPoint, Excel, Project, Visio, Visual SourceSafe, etc.) required.
M.S, or PH.D. in math, operations research, statistics, computer science, engineering, econometrics, computational finance, or similar highly quantitative field.