Description

The Role

The Senior ML Engineer will be responsible for building and scaling LiftIQ (Marketing Experimentation and Optimization Platform). This individual has expertise in building scalable Machine Learning data products for experimentation and optimization including experiment design, Statistical and ML models for causal inference, measurement, optimization and personalization leveraging 1P/3P data sources. This person will collaborate with cross functional teams, including engineering, data science and UX/UI Design, to build and refine the platform that enable experimentation, measurement and optimization.

This person will work closely with stakeholders in GM's vehicle brands, subscriptions, and customer care product, as well as the Performance Driven Marketing team to ensure business acceptance of models, metrics, visualization of experiment performance and optimization. They will be responsible for developing platforms, tools, and democratized capabilities that allow stakeholders and data scientists to identify marketing initiatives with high return on investment. Our team is focused on delivering future-focused, consumer-centric, personalized solutions that allow GM to stay proactive and nimble in our exciting transition to EVs.

• Work closely with the Data Scientists, Engineers and Product Owners to build a system that will help our marketing stakeholders optimize ROI.
• Design and engineer efficient and resilient ML platforms and software products that run at scale.
• Participate in design, architecture and code reviews, foster collaboration, and guide the team through roadmap deliverables and other technical challenges. Above all, you will work as a technical leader to provide our customers with great products while helping to grow a strong engineering team.
• Raise the bar of ML engineering by improving best practices, producing exemplary code, documentation, automated tests and thorough and precise monitoring.
• Possess contextual business knowledge and functional domain expertise in experimentation systems related to marketing, media, customer, digital channels, as well loyalty and subscription space, to drive incremental value.

• Have strong stakeholder management skills, able to prioritize asks, and move requests from the point of curiosity and into realized data products, insights, and solutions.

• Bachelor's degree in computer science, Data Science, Applied Mathematics, or related quantitative field, or equivalent combination of education and recent, relevant work experience.
• 5+ years of experience in full stack software development, machine learning, data science, or quantitative insights, and with data structures/algorithms.
• Strong programming skills in Python, Spark are necessary for implementing machine learning algorithms, data pipelines, and model development.
• Expertise in Machine Learning Algorithms and Techniques: Comprehensive understanding of diverse machine learning algorithms, spanning supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble techniques.
• 2+ years of experience successfully leading technical teams or work.
• Previous experience and examples building customer platforms and exhibiting platform and data governance.
• Understanding of the principles of causality and/or modeling of incrementality.
• Understanding of the basic principles of experimental design and analysis.
• Familiarity with models of customer lifetime value, retention, and churn.
• Prior experience managing and influencing stakeholders, analysts, architects, engineers, and other product owners building a similar capability.
• Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics.
• Strong drive for results and intellectual curiosity; must be a self-starter.
• Ability to train, mentor, and evaluate the technical capabilities of others.
• Prior experience evaluating and/or hiring high-performing talent.
• Strong project management skills with demonstrated success.
• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.
• Excellent team player with strong interpersonal skills and highly collaborative work style.
• Excellent oral, listening, presentation, and written communication skills.