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.
This hybrid role is based in our New York office, with in-office collaboration Tuesday through Thursday each week.
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
5+ 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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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.
