Develop mathematical models for business problems in automotive, analyze data from various sources, design experiments, and provide actionable insights.
Description
Develop new mathematical and statistical models and concepts, including multivariate regression, hierarchical Bayes, random forests, decision trees, and nonparametric statistics, to solve critical and strategic business problems relative to automotive product quality, design, engineering, Service, marketing, sales, and other forecasting. Determine type, structure, and source internal and external data needed to apply developed statistical model and concepts to answer critical and strategic business questions efficiently and accurately. Analyze, cleanse, and organize data pulled from internal Hadoop and external cloud environments using techniques including fuzzy matching and data profiling techniques. Apply knowledge of the business problem and other technical details to impute and build a comprehensive Analytical Data Set. Research current industry technical solutions that have been developed to address similar problems to benchmark mathematical model development options under consideration. Compile and apply mathematical theories and techniques using computer-driven mathematical analysis tools, including mathematica mathematical symbolic computation, python numerical and statistical software packages, R statistical computing tool and packages, and others to solve practical problems in automotive processes such as Product Quality, Design, Engineering, service, marketing, sales. Design experiments to develop and implement analytic and statistical prediction models in controlled and confined markets; analyze outcome of experiments using developed and standard statistical analyses. Design surveys and opinions clinics and use existing surveys and opinion polls as data sources for statistical models to address strategic business goals and imperatives. Create coherent conclusions and business insights from the models' results of analyses and suggest actionable measures. Develop data analyses to support and improve business decisions based on statistically sound rulings using analytical methods and model averaging techniques. Draw conclusions and make predications based on mathematical analysis of complex, voluminous empirical data to drive effective business best practices and solutions. Conduct technical knowledge transfer to IT operations team members and support operations team to implement in production mathematical models to support daily business decsions.
Additional Description
REQUIREMENTS:
Bachelor's degree in Statistics, Mathematics, Data Science or related field of study. Four (4) years of experience as a Senior Data Scientist, Data Scientist, Statistician or related occupation. Four (4) years of experience with: Data Science: Advanced Analytics techniques including artificial intelligence techniques including various types of neural nets; Machine Learning and Statistical methods including regression, probability analysis, risk analysis, and statistical process control; Data gathering, inspecting, cleansing, transforming, mapping, and modeling diagramming techniques; Databases: Databricks, Azure, Oracle, SQL Server MS Access; and Data integration: SQL, NoSQL, Hadoop, Cassandra, Alteryx, and Trifacta. One (1) year of experience with: Business Intelligence and Reporting Tools: Tableau, Power BI, Excel, JMP, SAS, SPSS, and Cognos.
#LI-DNI
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Develop new mathematical and statistical models and concepts, including multivariate regression, hierarchical Bayes, random forests, decision trees, and nonparametric statistics, to solve critical and strategic business problems relative to automotive product quality, design, engineering, Service, marketing, sales, and other forecasting. Determine type, structure, and source internal and external data needed to apply developed statistical model and concepts to answer critical and strategic business questions efficiently and accurately. Analyze, cleanse, and organize data pulled from internal Hadoop and external cloud environments using techniques including fuzzy matching and data profiling techniques. Apply knowledge of the business problem and other technical details to impute and build a comprehensive Analytical Data Set. Research current industry technical solutions that have been developed to address similar problems to benchmark mathematical model development options under consideration. Compile and apply mathematical theories and techniques using computer-driven mathematical analysis tools, including mathematica mathematical symbolic computation, python numerical and statistical software packages, R statistical computing tool and packages, and others to solve practical problems in automotive processes such as Product Quality, Design, Engineering, service, marketing, sales. Design experiments to develop and implement analytic and statistical prediction models in controlled and confined markets; analyze outcome of experiments using developed and standard statistical analyses. Design surveys and opinions clinics and use existing surveys and opinion polls as data sources for statistical models to address strategic business goals and imperatives. Create coherent conclusions and business insights from the models' results of analyses and suggest actionable measures. Develop data analyses to support and improve business decisions based on statistically sound rulings using analytical methods and model averaging techniques. Draw conclusions and make predications based on mathematical analysis of complex, voluminous empirical data to drive effective business best practices and solutions. Conduct technical knowledge transfer to IT operations team members and support operations team to implement in production mathematical models to support daily business decsions.
Additional Description
REQUIREMENTS:
Bachelor's degree in Statistics, Mathematics, Data Science or related field of study. Four (4) years of experience as a Senior Data Scientist, Data Scientist, Statistician or related occupation. Four (4) years of experience with: Data Science: Advanced Analytics techniques including artificial intelligence techniques including various types of neural nets; Machine Learning and Statistical methods including regression, probability analysis, risk analysis, and statistical process control; Data gathering, inspecting, cleansing, transforming, mapping, and modeling diagramming techniques; Databases: Databricks, Azure, Oracle, SQL Server MS Access; and Data integration: SQL, NoSQL, Hadoop, Cassandra, Alteryx, and Trifacta. One (1) year of experience with: Business Intelligence and Reporting Tools: Tableau, Power BI, Excel, JMP, SAS, SPSS, and Cognos.
#LI-DNI
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Top Skills
Alteryx
Azure
Cassandra
Cognos
Databricks
Excel
Hadoop
Jmp
Ms Access
NoSQL
Oracle
Power BI
Python
R
SAS
Spss
SQL
SQL Server
Tableau
Trifacta
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