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Salary: USD 199,000 - 275,000 / annual
Chime's Data Science and Machine Learning team is seeking a hands-on Tech Lead Manager to lead a talented group of data scientists and machine learning engineers focused on growth and marketing. You will develop innovative models and solutions that drive customer acquisition, retention, and financial inclusivity for millions of Chime members.
In this role, you will:
- Lead and inspire a high-performing team of data scientists and ML engineers, ensuring 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 the customer funnel
- Oversee end-to-end development of machine learning models including 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 ML 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 marketing and growth strategies
Chime is a financial technology company (not a bank) that empowers millions to manage and grow their financial lives through user-friendly tools and intuitive platforms. The company operates with an entrepreneurial culture focused on problem-solving, member obsession, and delivering exceptional financial services.
Work arrangement: Four days per week in office, Fridays from home for those near an office location, with flexibility for fully remote arrangements depending on circumstances.
REQUIREMENTS:
- 7+ years of experience developing machine learning models for marketing and growth, from inception to production, with focus on customer acquisition, engagement, and retention
- 5+ years of experience leading data science teams, with proven track record of mentoring, coaching, and driving impactful machine learning solutions
- Strong expertise in marketing and growth analytics, including 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 ability to work iteratively in fast-paced, cross-functional environment
- M.S. or Ph.D. in Machine Learning, Computer Science, Statistics, or related STEM field
- Proficiency in Python and SQL, with experience 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 ability to partner effectively with marketing, growth, product, and engineering teams
