Data Scientist for SEO

-Work alongside & learn from best in class talent

-Excellent career development opportunities

-Attractive salary & benefits

They’re looking for a Data Scientist who can transform messy SEO data into clear, actionable insights that drive rankings, traffic, and revenue.

The Job

What You’ll Do

Build data models to forecast SEO impact and ROI

Automate analysis of rankings, traffic, and content performance

Identify patterns across SERP behavior, competitors, and user intent

Create dashboards that guide strategic SEO decisions

Run statistical tests to validate SEO experiments

Support SEO strategists with actionable insights from large, unstructured datasets

Ideal Candidate

What We’re Looking For

Required:

2+ years working with SEO or digital marketing datasets

Advanced skills in Python, SQL, and data visualization (Looker, Power BI, or similar)

Experience with web scraping, APIs (Google Search Console, GA4), and NLP

Strong ability to present technical findings to non-technical stakeholders

Preferred:

Familiarity with content clustering, internal linking, and topical authority

What We Offer

Salary starting from $1,000 USD per month (20 hours per week)

Fully remote, async-first team — work from anywhere

High autonomy and freedom — no micromanagement, just outcomes

Work with private equity firms and 8-figure ecommerce brands

Opportunities to grow into higher-level strategy and innovation roles

Working hours

Fully remote position

Approx. 20 hours per week to start, with potential for expansion

Flexible schedule, async-first collaboration

Application Requirements

Please submit an introductory video (3–5 minutes) answering the following questions:

How would you use data to identify the most impactful SEO opportunities for a client?

Share an example of a time you automated a data process or built a model — what problem did it solve?

When working with teammates in different time zones, how do you ensure smooth collaboration?