BA
Data Manager leading data strategy and governance for Global Payments Solutions at Bank of America. Managing data architecture aligning with business and regulatory needs while overseeing complex data ecosystems.
About the role
- Data Scientist optimizing marketing and conversion funnels at Replit, democratizing software development. The role involves analyzing user behavior and building predictive models for insightful marketing strategies.
Responsibilities
- Design and analyze marketing experiments to optimize campaigns, messaging, and channel performance across email, paid ads, social, and content marketing.
- Build attribution models and multi-touch conversion funnels to understand the customer journey from first touch to paid conversion.
- Develop predictive models to identify high-intent prospects, optimize lead scoring, and improve targeting for paid acquisition campaigns.
- Partner with marketing, growth, and revenue teams to translate business questions into rigorous analysis and clear recommendations.
- Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams.
- Build and maintain data pipelines that integrate marketing platforms (Google Ads, Meta, Iterable, Segment, etc.) with our product analytics.
- Build propensity models to identify which free users are most likely to convert to plans based on usage patterns and engagement signals.
- Analyze cohort behavior and retention patterns to optimize lifecycle marketing campaigns and reduce churn.
- Develop segmentation models to personalize messaging and targeting for different user personas (students, hobbyists, professional developers, enterprise teams).
- Build real-time alerting systems to flag anomalies in campaign performance or conversion metrics, automate bidding adjustments across platforms.
Requirements
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles.
- 2-4 years of experience in data science, analytics, or related roles with a focus on marketing, growth, or business analytics.
- Strong SQL skills and experience working with large datasets, particularly event-level user behavior data, and designing ETL workflows using dbt
- Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.).
- Experience designing and analyzing A/B tests and experiments, including statistical rigor around sample sizing, significance testing, and causal inference.
- Experience building dashboards and visualizations (Looker, Tableau, Mode, or similar tools).
- Ability to translate ambiguous business questions into structured analysis and communicate findings clearly to non-technical stakeholders.
Benefits
- Competitive Salary & Equity
- 401(k) Program
- Health, Dental, Vision and Life Insurance
- Short Term and Long Term Disability
- Paid Parental, Medical, Caregiver Leave
- Commuter Benefits
- Monthly Wellness Stipend
- Autonomous Work Environment
- In Office Set-Up Reimbursement
- Flexible Time Off (FTO) + Holidays
- Quarterly Team Gatherings
- In Office Amenities
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