Description

About Us 

Centrifi, a division of Site Impact, offers a unique platform that combines proprietary technology, data-driven business intelligence, and sophisticated digital marketing, enabling large media companies and agencies to scale their focused ad sales effortlessly. We have combined our ability to take in-market audiences and merged that data with analytics from websites and digital media to bring a game changer to digital media as we know it. We round that out with our best-in-service plan that includes cost savings and faster turnaround times for our clients.

Join our team and be part of an innovative and dynamic environment where you can make a meaningful impact. 

Responsibilities & Qualifications

Responsibilities: 

• Research, design, and develop AI/ML algorithms and models to optimize media channel mix recommendations 

• Research, design, and develop AI/ML algorithms and models to optimize budget spend recommendations within the digital marketing platform. 

• Analyze large datasets to extract meaningful insights and identify trends that inform model development and improvement. 

• Collaborate with data engineers to preprocess and transform data for model training and deployment. 

• Implement and deploy production-ready AI/ML models, ensuring scalability, reliability, and performance. 

• Evaluate model performance using appropriate metrics and iterate on model improvements based on feedback and real-world outcomes. 

• Stay updated on the latest advancements in AI/ML technologies and methodologies, and integrate relevant innovations into our platform. 

• Data Modeling by crafting and manage data models to guarantee data accuracy, consistency, and scalability across our systems. 

Required Experience: 

• Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field. 

• Proven experience (X years) in developing AI/ML models for real-world applications, preferably in the digital marketing domain. 

• Proficiency in programming languages such as Python, R, or Scala, with hands-on experience in libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn. 

• Strong understanding of statistical analysis, machine learning algorithms, and data preprocessing techniques. 

• Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). 

• Excellent problem-solving skills and the ability to translate business requirements into technical solutions. 

• Effective communication skills with the ability to collaborate cross-functionally and present complex ideas to non-technical stakeholders. 

Preferred Qualifications: 

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and related services for AI/ML model development and deployment. 

• Knowledge of digital marketing concepts and metrics (e.g., CTR, ROI, ROAS) is a plus. 

• Familiarity with agile development methodologies and DevOps practices.