Lead Data Scientist, Revenue Analytics

7+ years experience in data science and/or consulting with strong emphasis on breaking down ambiguous business problems into data driven impact.

Expert knowledge of SQL, Python, A/B testing, and Github

Excited and passionate about the new AI tools (Claude, Gemini, etc.) and eager to learn how that can help improve our day-to-day efficiency

Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically

$138,750 - $150,000 per year salaried*

* The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.

Life at Extend:

Working with a great team from diverse backgrounds in a collaborative and supportive environment.

Competitive salary based on experience, with full medical and dental & vision benefits.

Stock in an early-stage startup growing quickly.

The Revenue Analytics team is focused on developing strategic recommendations grounded in data to scale, drive, and recover revenue.

We are experts at synthesizing different contexts from Sales, Growth, Product, Engineering, and Risk to identify growth and expansion opportunities that directly drive the company’s bottom line.

Cross-functional Champion:

Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations.

Revenue Optimization:

Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall.