Senior Data Scientist/Applied Scientist, AI Products - Attentive

Job Title: Senior Data Scientist/Applied Scientist, AI Products
Job Location: San Francisco, CA
Job Listing URL: https://jobs.lever.co/attentive/d111e932-ce56-4d4a-a9f9-456c23cc4dbf
Job Description: At Attentive, we're revolutionizing the way businesses connect with their customers. Our AI-driven marketing platform infuses intelligence into every stage of the consumer journey, helping brands deliver hyper-personalized messages at scale. With a mobile-first approach, engaging two-way conversations, and enterprise-grade technology, we're driving billions in online revenue for leading brands worldwide, including CB2, Urban Outfitters, GUESS, Long John Silver’s, and Wyndham Resort. But we're not just about SMS and email—by expanding our AI capabilities to enhance multiple products and channels, our goal is to help make every interaction more meaningful. As a member of our team, you'll be at the forefront of this innovation, helping to shape the future of customer communication.

Attentive’s growth has been recognized by Deloitte’s Fast 500, Linkedin’s Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees!

Who we are
Have you ever received text message marketing from your favorite brand? Did you know that effective text message marketing is by far the highest ROI marketing channel? And, did you know that customers are increasingly preferring to interact with brands through text? Now you understand our impact at Attentive. We help the world’s largest brands send 100 to 500 million messages per day, approaching 100 billion per year.

Our Data Science team is a world-class data, applied science, and ML organization that leads data-driven decision-making and the conversational AI efforts for the entire company. Joining our team offers a hockey-stick career opportunity to work with some of the world’s top data scientists in a high-performance and high-impact culture.

As a Senior Data Scientist on our AI team, you will play a crucial role in transforming data into actionable insights and models for our AI product offerings. We are looking for an experienced scientist who relishes the opportunity to develop novel approaches and apply them at Attentive’s scale. Your contributions will directly influence the development of cutting-edge ML solutions, empowering our team to craft highly effective messaging strategies.

What You'll Do
Lead the development of statistical, econometric, optimization, and machine learning models for a range of applications in our messaging and AI product offerings.
Design and execute experiments, interpret results, and draw actionable conclusions.
Use data to understand product performance, identify improvement opportunities, and define product/team roadmaps.
Present findings to senior leadership to inform and influence business decisions.
Collaborate with cross-functional teams across product, engineering, customer success, and sales to drive business value from ideation to production.
Basic Qualifications
Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
Knowledge of experimental design and analysis.
Experience with exploratory data analysis, statistical analysis and testing, and model development.
Ability to use Python to work efficiently at scale with large data sets.
Advanced proficiency in SQL.
Preferred Qualifications
4+ years of industry experience as an Applied or Data Scientist or equivalent.
Experience in customer lifetime value modeling.
Experience in personalization systems and cross-sectional cohort modeling.
Experience with ads delivery and optimization systems.
Experience with implementing insights into customer success recommendations.
Experience with productionizing algorithms for real-time systems.
Well-honed communication and presentation skills.
Experience presenting findings to senior management to inform business decisions.
Strong product and customer-oriented intuition