Senior Data Scientist

Attentive® is the most comprehensive text message marketing solution, driving 20.5% of total online revenue for businesses by creating thoughtful SMS experiences.

Using real-time behavioral data, Attentive makes it possible for businesses to automatically send engaging text messages to each subscriber.

Over 4,000 leading businesses like CB2, Pura Vida, Urban Outfitters, Rebecca Minkoff, Steve Madden, and more rely on Attentive and see strong performance, like 30%+ click-through rates and 25x+ ROI.

In March 2021, Attentive announced a Series E investment and is backed by Coatue, Bain Capital Ventures, Sequoia, IVP, and other leading venture firms. 

Data Science @ Attentive

• Our vision for Attentive’s data science organization is to be a product-centric source of innovation.

Data science at Attentive will partner closely with our Data & ML team, and our Product team to drive meaningful customer outcomes.

• Data science at Attentive bridges the gap between business outcomes, product, and machine learning
– we have a vast and high-velocity dataset from thousands of customers (10’s of terabytes) that we have accumulated in the past few years and we are now making use of this data and crafting ML-based products to deliver personalized experiences, optimized workflows, and other product innovation throughout the team.

• Setting up a long-term source of data-informed product innovation is critical to our success.

Our data science organization will be central to
1.

Make testing the default throughout our internal and customer-facing products, 
2.

Establish low-cost and repeatable approaches to testing new tools, technologies, and techniques, and 
3.

Develop a reliable and persuasive narrative to advocate for effective use of data throughout the organization

You @ Attentive

• You have worked professionally as a data scientist for 4+ years with experience on a single product long enough to see the impact of early decisions

• You will collaborate with our data & ML team to define appropriate data organization and standards (ex create and optimize data pipelines, train and rotate ML models in production, and set up systems to manage recurring jobs)

• You will collaborate with our product organization, working closely within our existing sprint processes (design, spike, and deliver production-ready features for customers)

• You will collaborate with our analytics team to establish repeatable reporting processes for internal tools and customer-facing reports (ex billing, message performance metrics, historical spend and performance trends)

• You will be the founding member of our data science team, and are excited to help craft processes and early data science strategy