DevOps Engineer

The Staff ML Engineer will be responsible for driving the vision, and execution of LiftIQ (Marketing Experimentation and Optimization Platform). This individual will be a technical leader and has expertise in building scalable Machine Learning data products for experimentation and optimization including experiment design, Statistical and ML models for 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.

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.
Drive a strategic roadmap with executable outcomes to provide business value and impact.
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.
Possess knowledge of how to map data skills, techniques, and tools to problems.
Lead and developing a team that can tackle diverse problems across the business, identifying strengths and weaknesses and allocating accordingly.
Ensure an elevated level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff.

Bachelor’s degree in computer science, Data Science, Applied Mathematics, or related quantitative field, or equivalent combination of education and recent, relevant work experience.
5-8+ 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.
Proficiency in full stack software development using react, custom visualization using d3.
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.