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Director of Advanced Analytics and Modeling - Farmington Hills, United States - Kinsley Power Systems
Description
The Organization:
Marketing Intelligence
Latcha's Marketing Intelligence organization is composed of campaign planners, insights analysts, and data modelers.
The responsibilities of the team include:
Advanced Analytics:
Predictive modeling with a focus on machine learning
Campaign Planners:
Shaping the success of campaigns by identifying opportunities, research, insights and strategies.
Insights Analysts:
Generate reports, analyses and recommendations
Establish key relationships and provide concise communication to optimize world-class experiences with the use of AI/ML for our clients
About The Role
The Director of Advanced Analytics and Modeling will be on the cutting edge of data science, experimentation, machine learning, predictive modeling, leveraging client and 3 rd
party data sources to propose new ideas and drive key strategic decisions.
As a key member of the Marketing Intelligence leadership team, you will provide thought leadership for research in machine learning and data science to shape new products and services utilizing complex data sets to develop new ways of solving our client's toughest data problems.
ResponsibilitiesThis role is a hybrid leadership and individual contributor role, with the following key responsibilities
Strategic Leadership
Team Management
Client Partnership
Roadmap Design
Project Planning and Implementation
Basic Qualifications
"Visionary" thought leader in Data Science and business consulting acumen in applying advanced analytics to solve real-world business issues.
Extensive experience and application of Data Modeling, Forecasting and Advanced Analytics techniques using Artificial Intelligence/Machine Learning.
Master's or Bachelor's degree in Statistics, Mathematics, Computer Science, Psychology, or Economics
5+ years Predictive modeling, data science, machine learning with complete fluency in SAS, R, or Python.
Desired Skills
Industry Expertise:
Automotive, Customer/Householding, and/or Media.
Building Analytics Pipelines:
Ability to construct end-to-end analytics pipelines.
Delivery Process:
Familiarity with project delivery methodologies.
Revenue Models:
Understanding of revenue forecasting and modeling.
Quick Learning:
Aptitude for rapidly grasping complex business operational concepts.
Business Consulting:
Ability to translate advanced analytics insights into actionable business recommendations.
Development Methodologies:
Familiarity with Agile Software Development.
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