Attentive is the AI-powered SMS and email marketing platform that delivers unparalleled messaging performance on the channels that matter most. 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.
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 Role 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 Do 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.Basic Qualifications 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.Preferred Qualifications 4+ years of industry experience as an Applied or Data Scientist or equivalent.Experience in customer lifetime value modeling.Experience in personalization systems and cross-sectional cohort modeling.Experience with ads delivery and optimization systems.Experience with implementing insights into client services recommendations.Experience with productionizing algorithms for real-time systems.Well-honed communication and presentation skills.Experience presenting findings to senior management to inform business decisions.Strong product and customer-oriented intuition.For US based applicants: - The US base salary range for this full-time position is $200,000 - $280,000 annually + equity + benefits.
- Our salary ranges are determined by role, level and location.
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.
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.
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