Lead Marketing Data Scientist

One Park Financial • Dallas, TX

19h • Hybrid

About The Position

One Park Financial is seeking a Lead Marketing Data Scientist to architect, streamline, and optimize data flows connecting marketing platforms to core business metrics. This role is crucial for building the analytical foundation that guides media investment decisions, focusing on Marketing Mix Modeling (MMM), incrementality testing, geo-lift experimentation, and scenario analysis. The insights generated will directly influence marketing spend allocation to drive revenue, funding volume, and customer acquisition targets. This is a high-impact, high-visibility role for a senior practitioner in a fast-paced, data-rich environment, translating data signals into business outcomes.

Requirements

• 7+ years of experience in data science, marketing analytics, or quantitative marketing, with at least 3 years focused on performance marketing measurement.
• Experience working with AWS in Cloud data platform.
• AI/ML based LTV prediction experience to build predictive models that help achieve business outcomes.
• Proven track record of building and deploying Marketing Mix Models (MMM): Bayesian (e.g., Robyn, Meridian, LightweightMMM, PyMC) or frequentist in production environments.
• Hands-on experience designing and analyzing incrementality tests, geo-lift studies, and causal inference experiments (synthetic control, difference-in-differences, uplift modeling).
• Strong programming skills in Python (pandas, NumPy, scikit-learn, statsmodels, PyMC / Stan) and SQL; comfortable working with large-scale datasets.
• Deep, hands-on experience with at least one major cloud data platform (Snowflake, BigQuery, Databricks, Redshift) and modern data stack tooling (dbt, Airflow, Fivetran, or equivalent).
• Strong working knowledge of digital media and performance platforms including Google Ads, Meta Ads, programmatic DSPs, affiliate platforms, call tracking, and attribution tools.
• Experience operating in a SaaS, fintech, financial services, or other fast-paced, high-growth, performance-driven environment.
• Excellent communication and storytelling skills with the ability to influence senior stakeholders and translate analytics into business action.
• Bachelor’s degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science, Engineering, or related field).

Nice To Haves

• Master’s or Ph.D. in Statistics, Econometrics, Data Science, or related quantitative field.
• Experience in financial services, lending, small business finance, or other regulated industries.
• Familiarity with privacy-aware measurement approaches (data clean rooms, conversion APIs, server-side tracking, MMM in a post-cookie world).
• Experience integrating LTV, retention, and unit-economics models into marketing measurement frameworks.
• Exposure to visualization tools such as Looker, Tableau, Power BI, or Streamlit for analytical product delivery.
• Prior experience leading or mentoring a team of analysts or data scientists.

Responsibilities

• Design, streamline, and integrate data pipelines between marketing platforms (Google Ads, Meta, TikTok, LinkedIn, programmatic DSPs, affiliate networks, CRM, call tracking) and the business data warehouse.
• Build and maintain a unified marketing data layer connecting impressions, clicks, and engagement signals to downstream conversion, funding, and revenue events.
• Partner with Data Engineering to define schemas, ingestion patterns, and data quality standards for trusted marketing data.
• Continuously identify and eliminate gaps, latency, and inconsistencies between platform-reported metrics and business outcomes.
• Develop, productionize, and own the company’s Marketing Mix Modeling (MMM) framework across paid, owned, and earned channels.
• Run scenario analyses and budget optimization simulations to recommend optimal media mix under varying conditions.
• Quantify diminishing returns, saturation curves, carryover effects, and channel interactions for planning.
• Translate MMM model outputs into clear, actionable recommendations for marketing leadership and the executive team.
• Design and execute geo-lift studies, holdout tests, and matched-market experiments to measure incremental impact by channel and campaign.
• Establish a rigorous experimentation roadmap and testing cadence across the media portfolio.
• Reconcile platform-attributed performance with incrementality results, and educate stakeholders on correlation vs. causal impact.
• Correlate impression- and click-level signals with funded loans, revenue, LTV, and other core business KPIs.
• Build self-serve dashboards and analytical products to support data-driven media mix decisions.
• Surface growth opportunities, efficiency gains, and underperforming investments through proactive analysis.
• Set and track measurement standards, attribution conventions, and success metrics across the marketing organization.
• Serve as the technical and analytical thought leader for marketing measurement.
• Partner closely with Performance Marketing, Brand, Finance, Product, and Data Engineering teams.
• Mentor analysts and junior data scientists, and help shape the long-term marketing analytics roadmap and team structure.
• Communicate complex statistical concepts and trade-offs clearly to non-technical executives and channel owners.

Benefits

• Competitive base salary plus performance-based bonus.
• Comprehensive health, dental, and vision insurance.
• 401(k) plan with company match.
• Hybrid / flexible work environment.
• High-visibility role with direct impact on company strategy and growth.
• Collaborative, entrepreneurial culture with significant opportunity for career advancement.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior