Senior Data Scientist/ML Engineer- - UPS Digital MARTEC

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

Role Overview

We are seeking a Marketing Data Scientist to drive data-driven decision-making across customer acquisition, retention, campaign optimization, and marketing ROI measurement. The ideal candidate will combine strong statistical modeling skills with business acumen to translate marketing data into actionable insights.

Key Responsibilities

1. Marketing Analytics & Modeling

• Build and deploy predictive models for customer acquisition, churn, and lifetime value (LTV).

• Develop marketing mix models (MMM) to measure channel effectiveness.

• Implement attribution models (multi-touch attribution).

• Perform A/B testing and experimental design for campaign optimization.

2. Customer Insights

• Conduct segmentation using clustering techniques.

• Develop propensity models (conversion, upsell, cross-sell).

• Analyze behavioral and transactional datasets.

3. Campaign Optimization

• Optimize digital campaigns (Paid Media, Email, SEO, Social).

• Improve targeting strategies using ML techniques.

• Forecast demand and campaign performance.

4. Data Engineering Collaboration

• Work with Data Engineering teams to build scalable data pipelines.

• Ensure clean, structured marketing datasets.

• Support real-time scoring and automation use cases.

5. Stakeholder Engagement

• Translate analytical findings into business recommendations.

• Present insights to Marketing Leadership and Growth teams.

• Support budgeting and spend allocation decisions.

Required Skills

Technical Skills

• Python (Pandas, Scikit-learn, XGBoost)

• SQL (Advanced querying, joins, optimization)

• Statistical modeling (Regression, Bayesian methods)

• A/B testing and experimental design

• Marketing Mix Modeling (MMM)

• Attribution modeling

• Experience with cloud platforms (Azure / AWS / GCP)

Analytics & Visualization

• Power BI / Tableau

• Data storytelling

• KPI dashboard design

Preferred Qualifications

• Experience in performance marketing analytics

• Exposure to CDP / CRM systems (Salesforce, Adobe, etc.)

• Knowledge of digital advertising platforms (Google Ads, Meta Ads)

• Familiarity with causal inference techniques

Education & Experience

• Bachelor’s or Master’s in Statistics, Mathematics, Data Science, Economics, or related field

• 8 to 10 years of experience in marketing analytics or data science

Key KPIs

• Campaign ROI improvement

• Customer acquisition cost (CAC) reduction

• Increase in conversion rate

• LTV growth

• Marketing spend efficiency

Employee Type:
 

Permanent

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