Lead and deliver AI initiatives focusing on traditional machine learning and generative AI for Mashreq Bank. Build, scale, and productionize models for business transformation and operational efficiency.
About the role
- Data Scientist at Replit analyzing customer signals and marketing performance to drive growth. Collaborating with cross-functional teams using AI and data analytics.
Responsibilities
- Design and analyze marketing experiments across paid, lifecycle, and content channels; optimize CAC, LTV, and ROAS
- Build multi-touch attribution and marketing mix models to understand what's driving growth
- Synthesize customer signals — support tickets, social, reviews, CSAT — into automated intelligence that reaches the teams who need it
- Build churn and retention models to identify at-risk users and inform lifecycle intervention strategies
- Define and maintain customer segmentations and personas that drive targeting, messaging, and product decisions
- Build the analytical foundation for Voice of the Customer — connecting qualitative feedback signals to quantitative behavior data at scale
- Detect emerging product issues and bugs faster by surfacing support signal early enough to shape engineering priorities
- Optimize automation and deflection to reduce support load and improve self-serve resolution rates
- Build the measurement foundation to fully optimize ROI across all support activities
- Use LLMs and agentic workflows to analyze unstructured data at scale and automate recurring analysis
- Create automated reporting that puts key metrics to inform the company
Requirements
- 6+ years of experience in data science with a focus on marketing, growth, or customer analytics
- Strong SQL skills and experience with large-scale event-level user behavior data; experience designing ETL workflows using dbt
- Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.)
- Experience designing and analyzing A/B tests with statistical rigor (sample sizing, significance testing, causal inference)
- Experience building dashboards and visualizations (Hex, Looker, Tableau, Mode, or similar) —> ideally automating them.
- Demonstrated experience using LLMs/AI tools in analytics workflows — not just prompting, but building automated systems
- Track record of partnering cross-functionally with Marketing, Product, Engineering, Support, and Revenue/Sales teams — not just serving a single stakeholder
Benefits
- Competitive Salary & Equity
- 401(k) Program with a 4% match
- 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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