Avalara Technologies - Senior Data Scientist

What You'll Do

Avalara is scaling a modern, AI-enabled go-to-market engine - and the Marketing Analytics & Insights (MAI) team sits at the center of this transformation. As a Senior Data Scientist, you will help shape predictive intelligence and experimentation strategy across the full marketing and revenue funnel.

You will:

- Build predictive and forecasting models for pipeline, conversion, and ROI

- Develop uplift / lead scoring, early funnel signal detection, and velocity models

- Design and scale experimentation frameworks (A/B, causal inference)

- Apply AI and large-language-model techniques to accelerate insights delivery

- Translate analytics into strategic recommendations for marketing leaders

- Partner with the Global Analytics & Insights (GAI) team on model design, deployment, MLOps, and shared data standards

- This is a hands-on, high-visibility role. You will operate as a strategic builder, shaping the analytics and AI foundation that fuels Avalara's future GTM performance. You will report to the Director, Marketing Analytics.

What Your Responsibilities Will Be

- Build and deploy statistical & machine learning models to predict and optimize marketing performance

- Lead experimentation design, causal analysis, and incrementality measurement

- Partner cross-functionally with Marketing Ops, Revenue Marketing, and GAI

- Operationalize AI-driven analytics and automated insight workflows

- Mentor analysts on advanced analytics and experimentation frameworks

- Establish repeatable data science methods, governance, and documentation

- Communicate results clearly to executive stakeholders

What You'll Need To Be Successful

- 5+ years in data science, ideally within SaaS, marketing analytics, growth, or revenue intelligence.

Strong experience in:

- Forecasting + time-series modeling

- Regression, uplift / causal inference

- Experimentation / A/B frameworks

- Advanced Python (preferred) or R + strong SQL proficiency

- Translate complex models into crisp, executive-ready insights

- Demonstrated ability to operate independently and build new capabilities

Preferred Qualifications:

- Experience in B2B SaaS marketing or revenue analytics

- Familiarity with attribution modeling (MTA, MMM)

- Knowledge of Snowflake, dbt, Hex, and modern data stack environments

- Experience supporting go-to-market or growth analytics functions

- Exposure to LLM / AI techniques for automation or insight generation

- Prior experience as a founding / early data scientist in a high-growth company.