The Data Scientist will perform analysis and modeling for all demand generation and conversion elements including product, placement, price, and promotion in support of the short and long-term goals of the Sales & Marketing and Supply Chain teams. Job responsibilities include but are not limited to:
- Perform data mining and predictive analytics to help answer questions to identify key areas within the various function for performance improvement and predict future outcomes and trends.
- Design, deploy and provide ongoing evaluations of the statistical models and data mining techniques for predictive learning applications.
- Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation.
- Discover patterns and anomalies in data using ad-hoc query/visual discovery.
- Based on findings, make recommendations to management on possible actions to ensure the desired outcome.
- Collaborate with internal teams to generate ideas and strategies based on data-driven insights and recommendations.
- Partner with the data teams to assemble data from multiple systems and sources, which includes evaluation of data accuracy and completeness.
Short-term deliverables include:
- Collaborate with marketing to develop a robust model to predict the future state of the demand funnel and then integration Media Mix Modeling outcomes to recommend actions to close the gap.
- Develop models to quantify the relationship between price position's and conversions and collaborate with internal and external teams to enhance incentive program effectiveness models.
- Collaborate with SCM to develop a model for predictive future dealer orders.
Basic Qualifications:
- Bachelor's degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related quantitative field or equivalent
- Familiar with various modeling methodologies including economics, econometrics, statistics, and data mining
- A minimum of 3 years of experience conducting statistical analysis in a business or academic environment
- A minimum of 3 years of experience with one or more of the following tools: data gathering skills/tools (e.g. SQL, Hadoop, Teradata, SAS, R, Python, Business Objects, etc.)
Preferred Qualifications:
- Master's degree in quantitative field, such as Statistics, Economics, Mathematics, Computer Science, Data Science, Operation Research
- Strong problem formulation and problem-solving skills
- Proven ability to transform business requirements into technical specifications
- Ability to handle multiple projects within a given timeframe
- Proven ability to present strategies and make recommendations to senior management
- Have a lifetime learning attitude
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.