Auburn Hills, MI 48326, United States
April 21, 2022
Apply NowJob description
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
Our benefits reflects the FCA commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.
As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.
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
Our benefits reflects the FCA commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.
As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.
