The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities:

• Responsible for assisting the Lead Data Scientist and the data science team with building solution accelerators, pipeline development, and building integrations with our LLM Products on the Databricks platform
• Using ML flow or similar application to create and serve up ML Models
• Collaborate with cross-functional teams, including data scientists, product managers, data engineers, and software engineers, to design, develop and deploy machine learning models that meet business requirements.
• Develop and maintain continuous integration and delivery pipelines for machine learning models, ensuring that they are tested, validated, and deployed in a consistent and reliable manner.
• Perform data analysis and feature engineering to support machine learning model development.
• Stay up to date with the latest advancements in machine learning and MLOps and evaluate new technologies that can improve our processes and models.
• Provide mentorship and technical guidance to junior data scientists and machine learning engineers.
• Leveraging open-source tools and building frameworks and components to improve and scale our Serving and ML platform

Requirements

• Experience in both architecting and the hands-on implementation of infrastructure
• Must have experience in the Media, Advertising or Marketing Industry
• Can deploy ML model to a production cloud environment
• Hands-on experience in GCP, Databricks or Apache Spark mandatory
• Strong knowledge of ETL concepts and data processing workflows
• Experience with ML libraries and predictive analytics
• Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn, Keras/TensorFlow, PyTorch, Docker, CI/CD Pipelines, Git, or developing APIs.
• Computer Science Degree or related field
• 1 or more years of industry experience building scalable services and data driven platforms.
• Experience with building ML infrastructure, writing production level code, & deploying Machine Learning models
• Experience working on complex problems and systems where scalability and performance are very important
• Strong problem solving and debugging skills. Entrepreneurial individuals who are passionate about AI ethics and causality

Required Skills

Required Experience