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: Attentive® is the AI-powered mobile marketing platform transforming the way brands personalize consumer engagement. Attentive enables marketers to craft tailored journeys for every subscriber, driving higher recurring revenue and maximizing campaign performance. Activating real-time data from multiple channels and advanced AI, the platform personalizes content, tone, and timing to deliver 1:1 messages that truly resonate.

With a top-rated customer success team recognized on G2, Attentive partners with marketers to provide strategic guidance and optimize SMS and email campaigns. Trusted by leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson, Attentive ensures enterprise-grade compliance and deliverability, supporting trillions of interactions across more than 70 industries. To learn more or request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.

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!

About the Attentive Team
Have you ever received a text message from your favorite brand with an incredible offer? Did you know that text message marketing delivers the highest ROI of any marketing channel? And that more customers than ever prefer to connect with brands via text? That is what we do at Attentive. We empower the world’s leading brands to engage with their customers at the right moment, with the right message. Our platform powers more than 400 million messages every day, approaching 100 billion annually.

We’re building big things! Check out our tech blog here: https://tech.attentive.com/

About the Role
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 high-growth career opportunity to work with some of the world’s most talented 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 Accomplish
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, client services, and sales to drive business value from ideation to production.
Your Expertise
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.
Nice to Haves
4+ years of industry experience as an Applied or Data Scientist or equivalent.
Familiarity with advanced statistical inference, experimentation, and causal inference methods.
Econometric experience with pricing and promotion optimization
Expertise in customer lifetime value modeling.
Experience in personalization systems and cross-sectional cohort modeling.
Background in operations research (e.g., scheduling or assignment problems).
Knowledge of advanced topics in XGBoost modeling.