Data Scientist

at  Site Impact

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:

• 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.

• 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