Data Scientist

Swoon; United States; Remote; USD 100,000 - 125,000; Full time

Job summary

Join a forward-thinking company as a Data Scientist, where you'll leverage advanced analytics and machine learning to enhance digital marketing performance. This role involves analyzing data from digital commerce and retail media, building predictive models, and translating technical insights into actionable business strategies. Collaborate with cross-functional teams and lead analytics projects that drive customer acquisition and optimize advertising spend. If you're passionate about data and ready to make an impact, this is the perfect opportunity for you.

Benefits

Medical insurance

Vision insurance

Qualifications

• 3+ years of experience in data science/analytics within digital commerce.
• Proficiency in Python or R and data visualization tools.

Responsibilities

• Analyze performance data across digital commerce platforms.
• Build predictive models to optimize ad bidding and ROI.
• Deliver data-driven recommendations to enhance conversion rates.

Skills

Data Analysis

Machine Learning

SQL

Python

R

Data Visualization

Communication Skills

Education

Bachelor’s or Master’s degree in Data Science or related field

Tools

Tableau

Power BI

AWS

Azure

Job description

This range is provided by Swoon. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$95.00/hr - $100.00/hr

Direct message the job poster from Swoon

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.
• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Analyst

• Industries

  Food and Beverage Manufacturing and Chemical Manufacturing

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Inferred from the description for this job

Medical insurance

Vision insurance

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