Senior Data Scientist, Conversational Marketing
3 weeks ago
Attentive is the world's leading conversational marketing platform, empowering businesses to deliver 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 helps drive billions in online revenue for over 8,000 leading brands around the globe.
Our Team
Our engineering department consists of 200+ people across multiple teams, including application development, infrastructure, data platform, data science and machine learning, and security. We believe our company will win in the long run through product innovation. To get there, we obsess over iteratively delivering customer value through rapid prototyping and data-driven decision-making.
About the Role
We're seeking a Senior Data Scientist to join our AI portfolio team. As a pivotal contributor, you will transform data into actionable insights, guiding the development of software solutions that enable our marketing team to craft high-performing messages.
Responsibilities
Develop data-driven strategies to address key business challenges, such as customer segmentation, churn prediction, and lifetime value optimization.
Use advanced statistical methods and machine learning techniques to analyze and interpret complex data, transforming it into insights that can guide decision-making for both our product and marketing teams.
Partner with product managers to translate business needs into data analysis projects, helping to define KPIs and interpret the results to make actionable recommendations.
Provide guidance on the proper implementation of data science models within our existing software environment, ensuring models are interpretable, robust, and aligned with business objectives.
Collaborate with data engineers and machine learning engineers to develop scalable and reliable data pipelines for model training and inference.
Implement frameworks for monitoring the performance and validity of analytics and machine learning models, ensuring their continued relevance and accuracy.
About You
At least 5 years of professional experience as a Data Scientist, with a specialized focus on software development and advanced analytics.
A proven track record of designing, developing, and deploying software solutions powered by machine learning and data analytics.
Strong expertise in Python, along with proficiency in data manipulation libraries like Pandas and modeling and analysis tools such as NumPy, Scikit-learn, XGBoost, Matplotlib, Seaborn, Scipy.
Demonstrable skill in SQL and experience with database systems like PostgreSQL or MySQL.
Expertise in working with large data sets using distributed computing platforms such as Hadoop, Spark, or AWS services like EMR and S3.
What We Use
Our infrastructure runs primarily in Kubernetes hosted in AWS's EKS. Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm. Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Pulsar, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS. Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright. Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas.
Perks and Benefits
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 standard base salary range for this position is $173,200 to $290,000 annually. This position is eligible for equity in the form of RSUs.
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