Lead Data Science Strategist: AI-Driven GTM Analytics

Klaviyo Inc.; Denver (CO); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Annual cash bonus

Equity options

Comprehensive health benefits

Job summary

A leading marketing automation platform is seeking a Lead Data Science Analyst in Denver to enhance go-to-market (GTM) strategies through advanced data science and AI-driven insights. The ideal candidate will possess over 6 years of experience, demonstrating expertise in statistical modeling and the ability to deploy AI-powered solutions effectively. Responsibilities include building predictive models, conducting deep analyses, and driving customer intelligence initiatives. A strong problem-solving mindset and excellent communication skills are essential for this role.

Qualifications

• Professional experience in an advanced analytics or data science role, preferably SaaS.
• Hands-on experience in AI/LLM-based solutions including prompt engineering.
• Strong report writing and presentation skills for executive audiences.

Responsibilities

• Build and maintain predictive models across various use cases.
• Lead deep-dive analyses using regression and causal inference.
• Develop and implement AI-first analyses for rapid insight generation.
• Own time-series forecasting and operational decision systems.
• Drive customer intelligence models to inform GTM strategy.

Skills

Statistical inference and modeling

Python (pandas, numpy, scikit-learn)

SQL

AI/LLM-based solutions design

Data visualizations and dashboards

Project ownership

Autonomy and problem-solving

Education

6+ years of professional experience in advanced analytics or data science

Tools

Git

Airflow

Tableau

Job description

A leading marketing automation platform is seeking a Lead Data Science Analyst in Denver to enhance go-to-market (GTM) strategies through advanced data science and AI-driven insights. The ideal candidate will possess over 6 years of experience, demonstrating expertise in statistical modeling and the ability to deploy AI-powered solutions effectively. Responsibilities include building predictive models, conducting deep analyses, and driving customer intelligence initiatives. A strong problem-solving mindset and excellent communication skills are essential for this role.