What are the responsibilities and job description for the Data Scientist position at Zimmerman Advertising?
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
- 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