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Cadillac Data Scientist - General Motors

General Motors


Location:
New York, New York
Date:
09/13/2017
2017-09-132017-11-12
Categories:
  • Data Analytics
  • Data Scientist
  • Statistician
  • Business Intelligence
General Motors
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Job Details

Cadillac Data Analyst

ROLE SYNOPSIS

 

Cadillac Data Scientist, Advanced Analytics is an individual contributor that reports to the Director of Corporate Strategy & Advanced Analytics.

 

Primary Purpose

  • Drive implementation of advanced analytics across Global Cadillac embedding it in processes, analysis and planning procedures and methods
  • Help identify and solve Cadillac’s biggest challenges, identify potential risks, and uncover new opportunities to modify operations, expand revenue, or reduce cost through the use of advanced analytics
  • Support the corporate strategy group with constructively disrupting/enhancing Cadillac’s business model

     

Key Responsibilities/Accountabilities

Work with and coach a Cadillac team of Analysts and collaborate cross-functionally in the planning and execution of advanced analytics and data management:

 

Capability Building

  • Help build & execute Cadillac’s Global Advanced Analytics capability (Methods, Tools, Processes/Procedures); from both internal & external sources
  • Perform analytical methodology process improvements
  • Engage and collaborate with Cadillac Global team, GM IT, GM Advanced Analytics, GM Digital & Marketing Analytics for synergies and cross pollination, development and resource efficiencies

     

Advanced Analytics

  • Lead Advanced Analytics projects and integration across Global Cadillac
  • Develop actionable business insights by performing advanced analytics on a broad range of problems and data types; communicate findings both written and verbal in a clear, concise and compelling manner
  • Conduct Cadillac Global segmentation modeling and evaluation (Vehicle & Customer)
  • Stay abreast of the evolving advanced analytics landscape; bring best practices and leading edge innovations to Cadillac
  • Lead efforts to identify root cause of poor performance or KPI shortfalls

     

Predictive modeling

  • Capitalize on new sources of data using state of the art tools and techniques to drive faster and better business decisions
  • Aide Cadillac in pivoting toward a forward looking predictive mode of operation
  • Predict the impact of initiatives and market shifts on the brand, volume, pricing
  • Identify predictive model opportunities (e.g., incentive optimization, supply chain, product development, etc.)
  • Identify and build predictive modeling opportunities for key business imperatives e.g., quality, marketing effectiveness, digital sentiment, volume

     

Data Management

  • Build tools and processes to manage and disseminate data
  • Direct validation and approval of all data and information utilizing advanced analytics (predictive, statistical & machine learning based or high-technology derived) for Cadillac executive team decision making
  • Develop and implement solutions and methods to leverage Hadoop based GM data platform where possible

     

Business Intelligence

  • Lead strategic KPI and key signals Business Intelligence across Cadillac
  • Manage tracking, management and automated tool development for executive and working team monitoring
  • Conduct process development for early warning signal (EWS) communication and action as part of ERM
  • Conduct instillation of regular business intelligence process and reporting implementing key prioritization, visualization, velocity, quantity and frequency considerations

Requirements

Essential Qualifications/Requirements

  • Minimum of 7 years’ experience in data analytics/data science
  • Experience leading teams of analytical professionals and facilitating productive brainstorming, methodology development and problem solving
  • Utilization of advanced analytics for business application in experience or education
  • Education or experience with distributed processing / cloud based architecture and Database management skills (e.g., SQL, cloud: Hadoop, Hive)
  • Working experience with enterprise warehouse management and query
  • Working knowledge of advanced statistical methods for predictive forecasting (beyond multiple linear regression analysis)
  • Exposure to programming (object oriented or otherwise)
  • Database management skills (e.g., MS Access, SQL, cloud: Hadoop, Hive)
  • Statistical software experience (e.g., R, SAS, SPSS, STATA)
  • Demonstrated experience with scenario and simulation development
  • Strong project management skills; ability to execute multiple complex and long-term tasks with strong cross-department collaboration and high time-management acumen

     

Preferred Qualifications/Requirements

  • Project Management or Process Management Certification (PMP, Six-Sigma, etc.)
  • Marketing Analytics Background
  • Economics exposure
  • Distributed processing statistical learning experience
  • Data Visualization & Business Intelligence exposure
  • Ability and desire to contribute in a low-structure, growing and fast paced environment
  • Graduate degree in statistics, applied sciences (e.g., physics), computer science and/or related quantitative field
  • Strong teamwork and communication skills and ability to work with all management levels
  • Ability to collaborate successfully in cross functional and cross-regional teams
  • Ability to make/recognize effective trade-off decisions and can negotiate skillfully in tough situations with both internal and external groups, can win concessions without damaging relationships
  • Ability to communicate complex concepts with compelling, simple and impactful delivery
  • Effective presentation skills in a variety of formal presentation settings: one-on-one, small and large groups with peers and superiors, and C-level executive teams inside and outside of the organization
  • Able to make sound decisions based upon a mixture of analysis, experience, and judgment
  • Natural initiative in decision making, execution and process improvement
  • Natural drive for making a contribution and creating new processes and methodologies
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