Tech Lead Manager, Machine Learning, Growth and Marketing
About this role
The Data Science and Machine Learning team at Chime Financial, Inc is focused on building models, services, and platforms designed to enhance how millions of users manage and grow their financial lives. This role centers on developing sophisticated models and platforms that directly impact user acquisition, retention, and financial inclusivity. The Tech Lead Manager in the Growth and Marketing domain will lead a team of data scientists and ML engineers to create innovative growth and marketing models. These models are crucial for gaining insights into how to acquire, retain members, broaden access to credit, and ensure financial inclusivity across the platform.
This position involves driving the creation of ground-up products and developing advanced acquisition and retention solutions. The individual will be responsible for leading the development and deployment of machine learning solutions focused on customer acquisition, conversion, and retention. A successful candidate will play a key role in optimizing the customer funnel by identifying opportunities where AI/ML can deliver significant business impact. The role is ideal for someone who is driven by marketing and growth challenges and enjoys translating complex data into actionable strategies.
This role suits a candidate who is adept at blending deep technical expertise in machine learning with strong business acumen and user empathy. They will be expected to inspire a high-performing team, establish ML best practices, and partner with cross-functional teams to align data initiatives with core business objectives. It requires a proactive approach to staying current with AI/ML trends while maintaining a focus on delivering measurable results for Chime’s members.
What you will do
- Lead a team of data scientists and machine learning engineers in developing innovative growth and marketing models.
- Develop machine learning solutions for customer acquisition, conversion, and retention.
- Drive the strategic direction for ML initiatives across marketing, engagement, and growth to optimize the customer funnel.
- Oversee the end-to-end development of models such as lifetime value prediction, churn risk modeling, and customer segmentation.
- Collaborate with marketing, product, growth, and engineering teams to align ML initiatives with business goals.
- Leverage transactional and behavioral data to improve customer targeting and optimize acquisition spend.
- Establish ML best practices covering model development, validation, deployment, and monitoring.
- Advocate for a data-driven culture by partnering with business leaders on predictive analytics.
What you need
- Possess over seven years of experience developing machine learning models for marketing and growth, spanning from inception to production.
- Require at least five years of experience leading data science teams, with a documented history of mentoring and driving impactful ML solutions.
- Must have strong expertise in marketing and growth analytics, including experience with customer segmentation, LTV modeling, churn prediction, and multi-touch attribution.
- Demonstrate a deep understanding of AI/ML techniques, including classification, clustering, reinforcement learning, optimization, deep learning, and NLP for customer engagement.
- Must have hands-on experience deploying machine learning models in live production environments and integrating them with marketing tech stacks.
- A strong product intuition is necessary to work iteratively within a fast-paced, cross-functional environment.
- A Master's or Ph.D. in Machine Learning, Computer Science, Statistics, or a related STEM field is required.
- Proficiency in Python and SQL, along with experience building ML pipelines and handling large-scale data.
Nice to have
- Experience with Kafka
- Experience with Airflow
- Experience with Redis
- Experience with MySQL
- Experience with Postgres
- Experience with Spark
- Experience with Snowflake
- Experience with Looker
Benefits
- Bonus(es)
- Competitive equity
- Benefits
Skills and tech stack
Questions candidates ask
What is the remote policy for this role?
The posting indicates the location for this role is San Francisco, CA, USA. It also notes the job posting is marked as #LI-Onsite.
What is the expected compensation range?
The base salary offered for this role ranges from $199,000 to $275,000 USD. Full-time employees may also be eligible for bonus(es) and competitive equity.
What is the primary tech stack used?
The required technical proficiencies include Python and SQL. The team also utilizes modern ML and data engineering technologies such as AWS, Kafka, Airflow, Redis, MySQL, Postgres, Spark, Snowflake, and Looker.
What is the team structure like?
The role involves leading a talented group of data scientists and machine learning engineers. Collaboration is required across marketing, product, growth, and engineering teams.
The application is on the official Chime Financial, Inc careers page.
Apply on company site