Description
About the Role
Chime's Data Science and Machine Learning team builds models, services, and platforms that transform how millions of users manage and grow their financial lives. We're looking for a hands-on Tech Lead Manager with deep technical expertise in machine learning and data science, particularly within the Growth and Marketing domain.
As a Tech Lead Manager within our Growth and Marketing team, you will lead a talented group of data scientists and machine learning engineers to develop innovative growth and marketing models. These models will provide critical insights into acquiring, retaining, and growing Chime members, broadening access to credit, and ensuring financial inclusivity.
In this role, you can expect to
- 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.
- Collaborate cross-functionally with marketing, product, growth, and engineering teams to align machine learning initiatives with business objectives.
- Leverage transactional and behavioral data to enhance customer targeting, optimize acquisition spend, and improve retention strategies.
- Establish ML best practices, including model development, validation, deployment, and monitoring, ensuring scalability and business impact.
- Advocate for a data-driven culture, partnering with business leaders to drive strategic decisions through experimentation and predictive analytics.
- Stay ahead of industry trends, bringing cutting-edge AI/ML techniques into our marketing and growth strategies.
To thrive in this role, you have
- 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.
- 5+ years of experience leading data science teams, with a proven track record of mentoring, coaching, and driving impactful machine learning solutions.
- Strong expertise in marketing and growth analytics, including experience with customer segmentation, LTV modeling, churn prediction, referral systems, and multi-touch attribution.
- Deep understanding of AI/ML techniques, including classification, clustering, reinforcement learning, optimization, deep learning, and NLP for customer engagement.
- Hands-on experience deploying machine learning models in real-world production environments, integrating with marketing tech stacks and growth platforms.
- Strong product intuition with the ability to work iteratively in a fast-paced, cross-functional environment.
- M.S. or Ph.D. in Machine Learning, Computer Science, Statistics, or a related STEM field.
- Proficiency in Python and SQL, with experience in building ML pipelines and wrangling large-scale data.
- Experience with modern ML and data engineering technologies, such as AWS, Kafka, Airflow, Redis, MySQL, Postgres, Spark, Snowflake, Looker.
- Exceptional communication and stakeholder management skills, with the ability to partner effectively with marketing, growth, product, and engineering teams.
Benefits
- In-office work policy with four days a week in the office and Fridays from home for those near one of our offices.
- Backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
- Comprehensive health, financial, and wellbeing benefits.
- Generous vacation policy and company-wide paid days off.
- 1% of your time off to support local community organizations of your choice.
- Annual wellness stipend to use towards eligible wellness-related expenses.
- Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents.
- Access to family planning reimbursement.