One Park Financial
Fintech
LeadMarketingDataScientist
“Lead Marketing Data Scientist at One Park Financial. Skills: Marketing Mix Modeling, Incrementality testing, Data science, Marketing analytics. Design data pipelines. Streamline data pipelines”
What You'll Achieve.
Drive revenue targets; Surpass revenue targets; Drive funding volume targets; Surpass funding volume targets; Drive customer acquisition targets; Surpass customer acquisition targets
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
What They're Looking For.
Must Have
7+ years data science experience, 3+ years performance marketing measurement, AWS cloud data platform experience, AI/ML LTV prediction experience, Build and deploy MMM, Design and analyze incrementality tests, Geo-lift studies experience, Causal inference experiments experience, Python programming skills, Major cloud data platform experience, Modern data stack tooling experience, Digital media platform knowledge, Performance platform knowledge, Fast-paced environment experience, Bachelor's degree quantitative discipline
Nice to Have
Master's or PhD preferred, Financial services experience preferred, Lending industry experience preferred, Small business finance experience preferred, Regulated industries experience preferred, Privacy-aware measurement approaches familiarity, Integrate LTV models preferred, Integrate retention models preferred, Integrate unit-economics models preferred, Visualization tools exposure, Leading or mentoring team experience
What You'll Do.
Design data pipelines
Streamline data pipelines
Integrate data pipelines
Build marketing data layer
Maintain marketing data layer
Define ingestion patterns
Define data quality standards
Eliminate data latency
Eliminate data inconsistencies
Develop MMM framework
Productionize MMM framework
Run scenario analyses
Run budget optimization simulations
Quantify diminishing returns
Quantify saturation curves
Quantify carryover effects
Quantify channel interactions
Translate model outputs
Design geo-lift studies
Execute geo-lift studies
Execute holdout tests
Design matched-market experiments
Execute matched-market experiments
Establish experimentation roadmap
Establish testing cadence
Reconcile platform performance
Reconcile incrementality results
Correlate signals with KPIs
Build self-serve dashboards
Build analytical products
Surface growth opportunities
Surface efficiency gains
Surface underperforming investments
Set measurement standards
Track measurement standards
Set attribution conventions
Track attribution conventions
Track success metrics
Serve as technical thought leader
Serve as analytical thought leader
Partner with Performance Marketing
Partner with Data Engineering
Align measurement with strategy
Mentor junior data scientists
Shape marketing analytics roadmap
Communicate statistical concepts
Communicate trade-offs
How You'll Work.
Team & Collaboration
Partner with Data Engineering; Partner with Performance Marketing; Partner with Brand; Partner with Finance; Partner with Product; Cross-functional teams
Communication Scope
Storytelling; Executive presentations
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