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
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Skills Required
- Master's or Ph.D. in Statistics, Computer Science, Economics, Operations Research, Mathematics, Machine Learning, or related quantitative field (Bachelor's with equivalent experience 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
- Strong proficiency in SQL
- Experience working on large-scale datasets
- Excellent communication skills and ability to influence executive stakeholders through data-driven storytelling
- Demonstrated success leading cross-functional initiatives from ideation through production
Attentive Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Attentive and has not been reviewed or approved by Attentive.
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Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision plans, plus a fully covered One Medical membership and mental health resources. Employer-paid options and added wellness stipends indicate strong support for physical and mental wellbeing.
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Equity Value & Accessibility — Equity grants are described as significant and a meaningful component of total compensation. Market-value cash pay paired with stock helps position overall packages as competitive.
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Parental & Family Support — Generous paid parental leave, fertility and family-forming benefits, and supports such as Milk Stork and travel reimbursement for necessary medical care are offered. These provisions signal robust support for families across different needs.
Attentive Insights
What We Do
Attentive® is the AI marketing platform for leading brands, designed to optimize message performance through 1:1 SMS and email interactions. Infusing intelligence at every stage of the consumer’s purchasing journey, Attentive empowers businesses to achieve hyper-personalized communication with their customers on a large scale. Leveraging AI-powered tools, a mobile-first approach, two-way conversations, and enterprise-grade technology, Attentive drives billions in online revenue for brands around the globe. Trusted by over 8,000 leading brands such as CB2, Urban Outfitters, GUESS, Dickey’s Barbeque Pit, and Wyndham Resort, Attentive is the go-to solution for delivering powerful commerce experiences for consumers with the brands they love. To learn more about Attentive or to request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.
Why Work With Us
At Attentive, you'll connect with inspiring, high-caliber people, and be encouraged to take risks, get creative, and think bigger. We're solving big problems for our customers, through our innovative AI solutions, giving employees the opportunity to thrive along the journey. The sky's the limit when it comes to what's possible.
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