Predictive Analytics Data Scientist

Zimmerman Advertising

United States

United States

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About

The Predictive Analytics Data Scientist will work collaboratively with our Retail Technology, Media, and Account Services teams to revolutionize our Marketing, Direct, and Digital initiatives through cutting-edge predictive modeling solutions. We are looking for a motivated individual with a strong analytical mindset and a desire to make a meaningful impact on business outcomes. Join our dynamic and diverse analytics department, which is focused on harnessing data science to elevate business strategies. Key Responsibilities: Support the Lead Data Scientist and the data science team in creating solution accelerators and establishing efficient pipelines, integrating with LLM Products on the Databricks platform. Utilize tools like ML flow to effectively build and deploy machine learning models. Collaborate with cross-functional teams, including data scientists, product managers, data engineers, and software engineers, to design and implement machine learning models that meet our business objectives. Maintain continuous integration and delivery pipelines for machine learning models, ensuring consistent and reliable validation and deployment. Conduct in-depth data analysis and feature engineering to advance the development of sophisticated machine learning models. Stay abreast of the latest advancements in machine learning and MLOps, assessing new technologies that could enhance our processes and models. Offer mentorship and technical guidance to junior data scientists and machine learning engineers, promoting their professional growth. Use open-source tools to develop frameworks and components that enhance and scale our Serving and ML platforms. Qualifications: Demonstrated experience in architecting and implementing infrastructure solutions. A solid background in the Media, Advertising, or Marketing industry is essential. Proficiency in deploying machine learning models to a production cloud environment. Hands-on expertise with GCP, Databricks, or Apache Spark is necessary. Strong grasp of ETL concepts and data processing workflows. Experience with machine learning libraries and predictive analytics methodologies. Skilled in AWS Sagemaker, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn, Keras/TensorFlow, PyTorch, Docker, CI/CD Pipelines, Git, and API development. Bachelor's degree in Computer Science or a related field. A minimum of 1 year of industry experience in building scalable services and data-driven platforms. Expertise in constructing ML infrastructure, writing production-level code, and deploying machine learning models. Experience in solving complex problems where scalability and performance are crucial. Strong problem-solving skills along with debugging abilities, and a keen interest in AI ethics and understanding causality.

United States

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English

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