GTM Data Scientist: Drive Growth with Causal ML

Awardco; Lindon (UT); On-site; USD 120,000 - 160,000; Full time

Job summary

Awardco is redefining the workplace with a data-driven GTM approach. As a Data Scientist, you will collaborate with Marketing, Sales, Revenue Operations, and Customer Success to uncover retention drivers and design experiments that shape customer success strategy.

You will build predictive models for health, churn, expansion, and LTV, and work with Python/SQL on Snowflake to scale analytics and ML infrastructure.

Qualifications

• Bachelor's or Master's degree in Statistics, Computer Science, Economics, Data Science, or another quantitative field.
• 3–5 years of applied data science experience.
• Strong Python proficiency with pandas, scikit-learn, statsmodels.
• SQL fluency and experience with a cloud data warehouse (Snowflake).
• Experience designing and analyzing A/B tests and causal inference methods.

Responsibilities

• Partner with GTM stakeholders to identify opportunities, measure initiative effectiveness, and contribute to shipping decisions.
• Design, run, and analyze experiments (A/B tests) and causal-inference methods to measure impact.
• Build and maintain predictive models (e.g., churn, expansion, LTV) and lead scoring.
• Collaborate with BI and Data Engineering on metric definitions and data infrastructure.
• Work in Python/SQL against Snowflake to build analytics and ML infrastructure.

Skills

Python

Pandas

Scikit-learn

Statsmodels

SQL

Data Visualization

A/B Testing

Causal Inference

Business Collaboration

Education

Bachelor's or Master's in Statistics/CS/Economics/Data Science

Tools

Snowflake

Looker/Tableau/Plotly

Airflow/Orchestra

Job description

Awardco is redefining the workplace with a data-driven GTM approach. As a Data Scientist, you will collaborate with Marketing, Sales, Revenue Operations, and Customer Success to uncover retention drivers and design experiments that shape customer success strategy.

You will build predictive models for health, churn, expansion, and LTV, and work with Python/SQL on Snowflake to scale analytics and ML infrastructure.