Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.

Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.

With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups , Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces , and the Human Rights Campaign Foundation's Corporate Equality Index !

About the Role

Our Applied Science / Data Science team is a world-class organization focused on using data, experimentation, machine learning, and AI to shape product strategy and accelerate business growth. We partner closely with Product, Engineering, Marketing, Sales, and Customer Success to build intelligent products, optimize customer experiences, and drive measurable business impact.

This will be a leadership role overseeing our applied science / data science team and you will lead a team of high-performing data scientists responsible for solving some of the company’s most strategic product and business challenges. You will define the vision for applied data science across multiple product areas, develop innovative analytical and machine learning solutions, and partner with senior leaders to influence company strategy. This is a highly visible leadership role that blends people management, technical excellence, and cross-functional influence.

What You’ll Accomplish

Lead, mentor, and grow a team of Applied Scientists / Data Scientists, fostering technical excellence and career development
Define and execute the applied data science roadmap in partnership with Product, Engineering, and executive stakeholders
Drive the development of statistical models, machine learning solutions, experimentation frameworks, and causal inference methodologies to improve product performance and customer outcomes
Establish best practices for experimentation, measurement, forecasting, and decision-making across the organization
Translate ambiguous business problems into scalable analytical and machine learning solutions
Influence product strategy by identifying opportunities through deep analysis of customer behavior, experimentation, and business performance
Partner closely with engineering teams to operationalize models and deploy production-ready solutions
Present insights and recommendations to senior leadership and executive stakeholders to influence strategic decisions
Build a culture of scientific rigor, operational excellence, and continuous innovation across the data science organization

Your Expertise

Master’s or Ph.D. in Statistics, Computer Science, Economics, Operations Research, Mathematics, Machine Learning, or a related quantitative field; Bachelor’s degree with equivalent industry experience also considered
8+ years of experience in Data Science, Machine Learning, Analytics, or related disciplines
3+ years of experience managing and developing high-performing data science teams
Deep expertise in experimentation, causal inference, statistical modeling, predictive modeling, and machine learning
Experience partnering closely with Product and Engineering organizations to deliver data-driven product improvements
Strong proficiency in Python and SQL with experience working on large-scale datasets
Excellent communication skills with the ability to influence executive stakeholders through data-driven storytelling
Demonstrated success leading cross-functional initiatives from ideation through production

You'll get competitive perks and benefits , from health & wellness to equity, to help you bring your best self to work.

For US based applicants

The US base salary range for this full-time position is $320,000 - $380,000 annually + equity + benefits
Our salary ranges are determined by role, level and location

#LI-EF1

By applying for this position, your data will be processed as per Attentive's Privacy Policy . Attentive Company Values

Default to Action - Move swiftly and with purpose

Be One Unstoppable Team - Rally as each other’s champions

Champion the Customer - Our success is defined by our customers' success

Act Like an Owner - Take responsibility for Attentive’s success

Learn more about AWAKE , Attentive’s collective of employee resource groups.

If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.

At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.

Role signals

Market pay: Top quartile for DataCompared with 65 USD annual base ranges in Data
Benefits

About Attentive

Attentive is an American company that sells a mobile marketing software service. Their customer engagement software is used by more than 8,000 businesses for mu…Based on Wikipedia · CC BY-SA 4.0

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