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Sr. Data Scientist

Roles & Responsibilities

  • 5+ years of data science experience, ideally in SaaS, marketing analytics, growth, or revenue intelligence
  • Strong expertise in forecasting/time-series modeling, regression, uplift / causal inference, and experimentation / A/B frameworks
  • Advanced Python (preferred) or R and strong SQL proficiency; ability to translate complex models into executive-ready insights
  • Experience in B2B SaaS marketing or revenue analytics; familiarity with attribution modeling (MTA, MMM) and knowledge of Snowflake, dbt, Hex, and modern data stack environments; exposure to LLM / AI techniques is a plus

Requirements:

  • Build and deploy statistical or machine learning models to predict and optimize marketing performance (pipeline, conversion, ROI)
  • Design and scale experimentation frameworks (A/B testing and causal inference) and lead uplift/incrementality measurement
  • Translate analytics into executive-ready insights and strategic recommendations for marketing leaders; communicate results to stakeholders
  • Partner with Marketing Ops, Revenue Marketing, and the Global Analytics Insights team on model design, deployment, MLOps, and shared data standards; operationalize AI-driven analytics and automated insight workflows

Job description

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.

#LI-Remote

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.
Avalara is an AI-first Company:

AI is embedded in our workflows, decision-making, and products.  Success here requires embracing AI as an essential capability.

  • You’ll bring experience using AI and AI-related technologies, ready to thrive here.

  • You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.

  • You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.

How We'll Take Care of You:

Total Rewards 

In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. 

 

Health & Wellness 
Benefits vary by location but generally include private medical, life, and disability insurance. 

 

Inclusive culture and diversit
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. 

 

What You Need To Know About Avalara:

We’re defining the relationship between tax and tech.

 

We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.

 

We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.

 

We’re An Equal Opportunity Employer

Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.

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