Data Scientist

Duration: 12-month contract (Potential CTH)

Location: Remote

ONLY OPEN TO W2 CONTRACT.

NO OPEN TO C2C

We're seeking a skilled Data Scientist with a strong background in digital commerce and retail media analytics to unlock insights and guide strategy through advanced data analysis. This role is ideal for someone passionate about leveraging first-party data, advanced analytics, and machine learning to drive digital marketing performance and customer acquisition strategies.

Key Responsibilities

Data Analysis & Modeling

• Analyze performance data across digital commerce and retail media platforms to uncover drivers of conversion.
• Build predictive models using first-party data (CLV, RFM, etc.) to optimize ad bidding and ROI.
• Apply machine learning and statistical techniques to identify trends and correlations in large datasets.
• Develop ETL processes using complex SQL logic.

Strategic Insights & Reporting

• Deliver data-driven recommendations to enhance search spend efficiency and conversion rates.
• Translate technical findings into business-friendly insights through visualizations and dashboards.
• Support strategic planning by framing and presenting analytics to senior leaders.

Project Management & Collaboration

• Lead analytics projects from scoping through execution and delivery.
• Collaborate with cross-functional stakeholders and external vendors to ensure timely and high-quality results.

Take initiative on continuous improvement efforts and new opportunities.

Data Stewardship

• Serve as a subject matter expert for zero/first-party data sources.
• Ensure data quality through validation, governance, and issue resolution in partnership with data stewards.

Qualifications

Required:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• 3+ years of experience in data science/analytics, ideally within digital commerce or retail media.
• Proficiency in Python or R and data visualization tools (e.g., Tableau, Power BI).
• Strong experience with SQL and working with large datasets.
• Familiarity with marketing KPIs: CAC, CTR, ROAS, SEO, CLV, Attribution Modeling, etc.
• Strong communication skills, with the ability to convey technical insights to non-technical audiences.

Preferred:

• Experience with CPG analytics.
• Hands-on expertise with platforms like Amazon Marketing Cloud, Amazon DSP, Walmart Scintilla, Kroger Collaborative Cloud, Google Ads, or Facebook Ads.
• Exposure to clean room technologies and search bidding optimization strategies.
• Cloud platform experience (AWS, Azure) and handling large-scale data systems.