Senior Data Scientist

Summary

Join Huge as a Senior Data Scientist to build innovative, AI-powered solutions for clients. Collaborate with creative, strategy, and data science teams to leverage data-driven opportunities and deliver client presentations. Transform complex data into scalable solutions for real-world decision-making. This role requires 5+ years of experience applying machine learning, statistical modeling, and generative intelligence to solve business challenges. Strong communication and problem-solving skills are essential. You will work with APIs, build automated workflows, and handle the entire data science lifecycle. The ideal candidate will have expertise in Python, TensorFlow, GCP, and cloud-based data services.

Requirements

• 5+ years of experience within an agency or product design company
• Excellent communication and presentation skills, especially as it pertains to internal and external non-technical audiences
• Thorough understanding of MMM/Forecasting/NLP and production use of GenAI and Frameworks such as LangChain, DSPy, and MCP
• Expert-level proficiency in Python, with hands-on experience leveraging libraries such as Pandas and NumPy for large-scale data manipulation, analysis, and feature engineering
• Deep understanding of ML frameworks, particularly TensorFlow, to develop and optimize models for predictive analytics and AI-driven solutions
• Extensive experience working in cloud environments, specifically (GCP), with strong proficiency in Vertex AI for deploying and scaling ML models
• Hands-on experience with Jupyter Notebook and Google Colab, utilizing them for rapid prototyping, experimentation, and collaboration across teams
• Ability to build and deploy scalable AI solutions, integrating cloud-native ML pipelines specifically with Vertex AI, GCP, and other cloud-based data services
• If the selected candidate holds a degree in Engineering or a related profession, they must present their professional license

Responsibilities

• Cross-craft collaboration with teams such as creative and strategy to create business solutions
• Operate in a hands-on role, developing statistical algorithm solutions and establishing data models for machine learning, and looking for opportunities to utilize AI
• Work with APIs and build automated workflows for products
• Work along the whole data science life cycle, from EDA, through feature engineering, model selection and training, evaluation, and deployment
• Isolate and gather the insightful signals from disparate datasets, and be able to speak to these to a non-technical audience
• Play an instrumental role in strategic optimizations by leveraging our suite of intelligent data products and solutions
• Serve as a hands-on Data Scientist who thrives in a fast-paced environment and brings data science expertise into the portfolio of work

Preferred Qualifications

• A degree in STEM is a plus
• Innate desire to remain at the forefront of the latest developments in the AI/ML space
• Strong interest in continuing education and acquiring subsequent certifications