- +3
- +7
- United States
À propos
Attentive is an AI-powered mobile marketing platform that transforms how brands personalize consumer engagement. It enables marketers to craft tailored journeys for each subscriber, driving higher recurring revenue and maximizing campaign performance. By activating real-time data from multiple channels and using advanced AI, the platform personalizes content, tone, and timing to deliver 1:1 messages that resonate.
Trusted by leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson, Attentive's top-rated customer success team, recognized on G2, partners with marketers to provide strategic guidance and optimize SMS and email campaigns. 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
. Our success is driven by our global employees!
About the Role
Our Data Science team is a world-class organization leading data-driven decision-making and conversational AI efforts across the company. Joining us offers a high-growth career opportunity to work with talented data scientists in a high-performance, impactful culture.
As a Senior Data Scientist on our AI team, you will transform data into actionable insights and models for our AI products. We seek an experienced scientist eager to develop novel approaches and apply them at scale. Your contributions will influence the development of cutting-edge ML solutions, enabling effective messaging strategies.
What You'll Accomplish
Lead development of statistical, econometric, optimization, and machine learning models for messaging and AI products
Design and execute experiments, interpret results, and draw actionable conclusions
Use data to understand product performance, identify improvements, and define roadmaps
Present findings to senior leadership to inform business decisions
Collaborate with cross-functional teams from product, engineering, client services, and sales to drive value from ideation to production
Your Expertise
Ph.D., M.S., or B.S. in Statistics, Economics, Machine Learning, Operations Research, or related fields
Strong understanding of statistical, ML, optimization, and economic foundations
Experience with experimental design and analysis
Proficiency in exploratory data analysis, statistical testing, and model development
Ability to efficiently work with large datasets using Python
Advanced SQL skills
Nice to Haves
2+ years industry experience as an Applied or Data Scientist
Knowledge of advanced statistical inference, experimentation, and causal inference
Experience with econometric models for pricing and promotion optimization
Expertise in customer lifetime value modeling
Experience with personalization systems and cohort modeling
Background in operations research (scheduling, assignment problems)
Knowledge of advanced XGBoost modeling topics
Enjoy competitive
perks and benefits
, from health & wellness to equity, to bring your best self to work.
For US-based applicants:
- The US base salary range for this full-time role is $200,000 - $260,000 annually + equity + benefits
- Equity is a significant part of total compensation
- Salaries are role, level, and location-dependent
#LI-EF1
Attentive Company Values
Default to Action
- Move swiftly and purposefully
Be One Unstoppable Team
- Support each other as champions
Champion the Customer
- Our success depends on our customers' success
Act Like an Owner
- Take responsibility for Attentive’s success
Learn more about
AWAKE , our employee resource groups.
If you do not meet all requirements, we still encourage you to apply! We value diverse experiences and may have other opportunities matching your skills.
At Attentive, diversity is our strength. We are an Equal Opportunity Employer committed to an inclusive, equitable workplace. We provide reasonable accommodations for candidates with disabilities. Please inform your recruiter if needed.
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Compétences idéales
- Python
- SQL
- XGBoost
- Machine Learning
- Statistics
- Economics
- Experimental Design
Expérience professionnelle
- Machine Learning
- Data Analyst
- Data Scientist
Compétences linguistiques
- English