Data Science Director jobs in Michigan

In this role, you will develop predictive models and advanced analytical studies with a focus on machine learning, natural language processing, and personalization.

Position Summary

As the Associate Director, Data Science, you will partner with the Director of Advanced Analytics and Data Science in shaping the success of our automotive client’s innovative sales and marketing initiatives. Your expertise in predictive modeling, private offers, and budget scenario planning will drive data-driven decision-making, optimize audience strategies, and provide best-in-class value for Latcha’s automotive client.

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:

• Data Science: In this role, you will develop predictive models and advanced analytical studies with a focus on machine learning, natural language processing, and personalization.
• Campaign Planners: Shaping the success of current and future campaigns by identifying opportunities, researching/gathering competitive insights, and developing audience, channel, and creative strategies.
• Insights Analysts: Generate reports, analyses, and recommendations that help clients make informed business decisions by analyzing data and extracting valuable insights.
• Analytics Enablement Specialists: They design requirements for PowerBI dashboards and visualizations and establish best practices for analytic tagging and ensure the accuracy of tagging and reporting deliverables.

About the Role

Do you consider yourself a “Visionary” thought leader in Data Science? Do you have a strong track record of leveraging data analytic methods within emerging technologies or the automotive industry? Do you have a desire to see your insights have a “real world” impact? If so, read on…

The Associate Director will be on the cutting edge of data science, experimentation, machine learning, predictive modeling, leveraging client and 3rd party data sources to propose new ideas and drive key strategic decisions.

This role offers an exciting opportunity to drive innovation, impact business outcomes, and shape the future of our automotive client’s marketing efforts. If you’re passionate about the transformative power of data, we encourage you to apply!

Responsibilities

This role is a hybrid leadership and individual contributor role, with the following key responsibilities:

Strategic Leadership:

• Provide subject matter expertise in advanced analytics, focusing on predictive targeting, measurement, and optimization.
• Collaborate with cross-functional teams to address custom business challenges using data-driven insights.

Team Management:

• Lead and inspire a team of highly motivated analysts.
• Oversee data gathering, analysis, and predictive modeling development.
• Foster a culture of continuous learning and growth within the team.

Client Partnership

• Ability to communicate complex results to all types of functions and levels within the organization and to our clients.
• Develop advanced analytics solutions, including predictive models, customer lifetime value (LTV) analysis, and multi-channel attribution.

Roadmap Design:

• Create an advanced analytics roadmap aligned with larger business goals.
• Incorporate input from the broader MI (Marketing Intelligence) team and key stakeholders.
• Identify data requirements and consult on database design for the building of predictive models.

Project Planning and Implementation:

• Collaborate with data scientists, data operations, client IT, technology platform partner, and other members of the Marketing Intelligence team to implement advanced analytics models.
• Develop frameworks, models, tools, and processes to ensure that data science insights and predictive insights can be incorporated into key decision making.
• Collaborate with Marketing Intelligence Insights Analysts to gather requirements and develop complex data sets to be used for deep dive analyses inclusive of customer profile analyses, longitudinal content, and customer touchpoint analyses.

Basic Qualifications

• 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.
• 4 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.