Professional Resume Template for
Marketing Data Scientist
Daria K. Mercer
San Francisco, CA
(415) 555-0182
daria.mercer@email.com
linkedin.com/in/daria-mercer-data | github.com/dariamercer | dariamercer.io
Professional Summary
Systems-oriented Marketing Data Scientist with 5 years of experience applying machine learning, predictive modeling, and statistical analysis to optimize customer acquisition and marketing spend. Expertise includes building multi-touch attribution models, customer lifetime value forecasting, and SQL/Python pipeline engineering. Successfully increased campaign return on ad spend by 22% and reduced subscriber churn by 14% across high-growth digital channels. Proficient in Google BigQuery, Tableau, TensorFlow, and Google Analytics 4. Focused on translating complex consumer datasets into actionable growth strategies.
Work Experience
Marketing Data Scientist — Optima Growth Labs
San Francisco, CA | November 2023 – Present
- Built and deployed a multi-touch attribution (MTA) model using Python and SQL, shifting 15% of underperforming ad spend to high-yield channels and increasing overall ROAS by 22%.
- Designed and executed 24 multivariate A/B tests on landing pages and email campaigns, improving signup-to-paid conversion rates by 18% and generating $140,000 in monthly recurring revenue.
- Developed customer lifetime value (LTV) prediction pipelines utilizing XGBoost, allowing marketing teams to segment 50,000+ users and reduce customer acquisition costs (CAC) by 14%.
- Automated customer churn prediction models using random forest algorithms, enabling retention campaigns that recovered 1,200 at-risk subscribers and saved $95,000 in annual revenue.
Marketing Data Analyst — Vanguard Digital Media
San Francisco, CA | June 2021 – October 2023
- Engineered ETL pipelines using Python and Google BigQuery to aggregate customer touchpoint data from 6 ad networks, reducing daily reporting compilation time by 12 hours weekly.
- Analyzed customer behavior data using SQL and Tableau to identify friction points in the checkout funnel, boosting e-commerce checkout completion rate by 8.5% over 6 months.
- Configured Google Analytics 4 tracking for 3 high-traffic web properties, correcting 14 event-tracking errors and improving conversion measurement accuracy by 19%.
- Collaborated with paid media managers to segment email subscriber lists using clustering algorithms, raising average email click-through rates by 11.5% across 4 segments.
Education
Bachelor of Science in Statistics (Minor in Data Science)
San Francisco State University · San Francisco, CA · 2021
Skills
Python, R, SQL, Google BigQuery, Tableau, Looker, TensorFlow, Scikit-learn, Google Analytics 4, Salesforce Marketing Cloud, Multi-touch Attribution (MTA), Customer Lifetime Value (LTV), A/B Testing, Cohort Analysis, ETL Pipelines, XGBoost, Random Forest, Marketing Mix Modeling (MMM)
Projects
Predictive Attribution Modeling Engine
Role: Lead Data Scientist
Tools: Python, BigQuery, TensorFlow, Airflow
Designed a custom Markov chain attribution model that reallocated $350,000 in monthly digital media budgets, increasing overall acquisition efficiency by 18%.
E-commerce Funnel Optimization Pipeline
Role: Marketing Data Analyst
Tools: SQL, Google Analytics 4, Tableau
Identified and resolved 4 critical friction points in checkout flow, reducing cart abandonment rate by 12% and recapturing $85,000 in monthly checkout revenue.
Certifications
- Google Cloud Certified Professional Data Engineer (2023)
- Google Analytics Individual Qualification (GAIQ) (2021)
- TensorFlow Developer Certificate (2022)
Additional information
- Languages: English (Native), French (Conversational)
- Volunteer Work: Mentoring aspiring data scientists through local tech education programs (2022–present)
- Availability: 2 weeks notice
Job Market Insights
Market data and opportunities for
Marketing Data Scientist
Job Market Insights
$105,000
-
$155,000
Avg:
$128,000
Growth Outlook:
The employment of Data Scientists, including Marketing Data Scientists, is projected to grow 34% from 2024 to 2034, much faster than the average for all occupations. This high growth is driven by the mounting reliance on predictive modeling and machine learning to optimize customer acquisition strategies and maximize media budget efficiency. Organizations continue to invest heavily in marketing data pipelines, creating a sustained demand for specialists who bridge the gap between data science and digital marketing strategy.
34% growth over 10 years
Key Skills Required
Focus on these skills when customizing your resume for recruiter screenings.
Search Jobs
Explore live openings for
Marketing Data Scientist
roles and tailor your resume to match the market demand.
Search
Marketing Data Scientist
FAQ
Common questions about the
Marketing Data Scientist
position