Tech Lead Manager (Machine Learning, Growth and Marketing)

Join Chime, a leading financial technology company, as a Tech Lead Manager in our Data Science and Machine Learning team. In this role, you will lead a talented group of data scientists and machine learning engineers to develop innovative growth and marketing models that will transform how millions of users manage and grow their financial lives. You will drive the strategic direction for ML initiatives in marketing, engagement, and growth, and collaborate cross-functionally with marketing, product, growth, and engineering teams. This is a hands-on position that requires deep technical expertise in machine learning and data science, particularly within the Growth and Marketing domain.

- Lead and inspire a high-performing team of data scientists and ML engineers, ensuring the successful development and deployment of machine learning solutions for customer acquisition, conversion, and retention. - Drive strategic direction for ML initiatives in marketing, engagement, and growth by identifying opportunities where AI/ML can optimize our customer funnel. - Oversee the end-to-end development of machine learning models such as lifetime value prediction, churn risk modeling, customer segmentation, marketing attribution, referral recommendations, and personalized communications.

- If you are passionate about marketing, growth, customer acquisition and retention models, this role could be a great fit for you - 7+ years of experience developing machine learning models for marketing and growth, from inception to production, with a focus on customer acquisition, engagement, and retention - Deep understanding of AI/ML techniques, including classification, clustering, reinforcement learning, optimization, deep learning, and NLP for customer engagement - Exceptional communication and stakeholder management skills, with the ability to partner effectively with marketing, growth, product, and engineering teams - Strong product intuition with the ability to work iteratively in a fast-paced, cross-functional environment - Hands-on experience deploying machine learning models in real-world production environments, integrating with marketing tech stacks and growth platforms - Strong expertise in marketing and growth analytics, including experience with customer segmentation, LTV modeling, churn prediction, referral systems, and multi-touch attribution - Proficiency in Python and SQL, with experience in building ML pipelines and wrangling large-scale data - M.S. or Ph.D. in Machine Learning, Computer Science, Statistics, or a related STEM field - 5+ years of experience leading data science teams, with a proven track record of mentoring, coaching, and driving impactful machine learning solutions - Experience with modern ML and data engineering technologies, such as AWS, Kafka, Airflow, Redis, MySQL, Postgres, Spark, Snowflake, Looker