Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
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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