Data Scientist Analyst

Job descriptionPosition Description:Responsibilities:

• Explore/apply the most relevant quantitative modeling techniques and tools in statistical analysis, econometrics, operation research/optimization, data science, machine/deep learning techniques to a variety of real-world business problems within automotive industry focusing on marketing and sales area
• Enable evidence-based decision making by extracting, managing, and exploring a variety of data sources and extracting insights from structured and unstructured data sets that are often large and high-dimensional
• Identify new and novel data sources and explore their potential use in developing actionable business insights
• Ensure overall quality of the data and solutions throughout the analytics development process
• Maintain and enhance existing econometrics models supporting business daily decisions
• Integrate validation result and visualize analysis/prediction result through visualization tools to provide qualitative overview
• Assist in communicating and presenting models and analytical results to business customers and upper management
• Collaborate with other teams within GDIA in the model development and delivery process

• A Master's degree in a quantitative field such as Statistics, Economics/Econometrics, Mathematics, Operations Research, or related fields
• 2+ years of experience (including time spent as a graduate student) doing quantitative research in any of the following areas: economics/econometrics, statistics, Applied Mathematics, optimization / mathematical programming, etc.
• 2+ years of experience in at least one of the following languages: Python, R, MATLAB, C/C/C#, SAS

• 2+ years of experience (including time spent as a graduate student) doing quantitative research in any of the following areas: economics/econometrics, statistics, Applied Mathematics, optimization / mathematical programming, etc.
• 2+ years of experience in at least one of the following languages: Python, R, MATLAB, C/C/C#, SAS

• A Master's degree in a quantitative field such as Statistics, Economics/Econometrics, Mathematics, Operations Research, or related fields

• Ph.D. in a quantitative field such as Statistics, Economics, Mathematics, Physics, Engineering, Operations Research, Quantitative Social Science, Quantitative Marketing, Quantitative Finance
• 1+ year of post-graduate work experience (in a business or post-doc setting) involving complex quantitative modeling and analysis in any of the areas mentioned under Basic Qualifications
• Demonstrated skills in applying techniques from econometrics, statistics, and/or machine / deep learning to large, high-dimensional structured and unstructured data sets
• Curious, high level of initiative, detail-oriented and ability to multi-task
• Fast learning in theoretical modeling and coding
• Strong problem formulation and problem solving skills
• Strong collaboration and communication skills
• Strong interpersonal skills and leadership behaviors
• Comfortable working in an environment where problems are not always well-defined

• 1+ year of post-graduate work experience (in a business or post-doc setting) involving complex quantitative modeling and analysis in any of the areas mentioned under Basic Qualifications

• Ph.D. in a quantitative field such as Statistics, Economics, Mathematics, Physics, Engineering, Operations Research, Quantitative Social Science, Quantitative Marketing, Quantitative Finance
• 1+ year of post-graduate work experience (in a business or post-doc setting) involving complex quantitative modeling and analysis in any of the areas mentioned under Basic Qualifications