Staff Data Scientist

What You'll Build:

• Design and implement our foundational AI data platform, ensuring enterprise-grade scalability, reliability, and performance
• Build production-ready agentic systems that autonomously execute marketing strategies, from campaign optimization to audience targeting
• Create robust MLOps pipelines supporting model training, deployment, and continuous improvement at scale
• Prototype and deploy state-of-the-art machine learning models, specializing in agentic AI systems for marketing automation
• Advance our LLM capabilities through RAG implementations, fine-tuning strategies, RLHF, and comprehensive model evaluation frameworks
• Research and integrate emerging AI technologies, translating academic breakthroughs into practical business solutions
• Conduct deep statistical analysis to identify the patterns and metrics that drive successful marketing campaigns
• Build end-to-end data science products from proof-of-concept through production deployment
• Develop quantitative impact metrics and compelling visualizations that demonstrate clear ROI for SMB clients
• Transform complex AI insights into actionable marketing strategies that drive measurable business
• Collaborate with product and engineering teams to integrate AI models into scalable, production-ready systems
• Mentor and guide junior data scientists and other engineers, fostering innovation and technical excellence
• Evangelize our AI platform vision across the organization and externally to the broader AI community

What we're looking for:

• Proven track record building and deploying sophisticated machine learning solutions, with deep experience in agentic systems, NLP, or deep learning
• Demonstrated success architecting scalable data pipelines and ML platforms that support high-volume model training and inference
• Expert-level proficiency in Python ecosystem (scikit-learn, TensorFlow, PyTorch, Hugging Face) for both research and production systems
• Hands-on experience with RAG architectures, model fine-tuning, RLHF, comprehensive evaluation frameworks, and drift detection systems
• Advanced SQL skills and expertise in data warehousing, ETL processes, and data governance best practices
• Deep understanding of database architectures and their trade-offs, plus experience with cloud platforms (AWS, GCP, Azure) and distributed computing (Spark, Dask)
• Ability to identify high-impact AI opportunities and translate them into technical solutions that drive significant business value
• Skill in translating complex technical concepts into clear business strategies and actionable insights
• Experience leading and developing junior data scientists in a collaborative, high-impact environment
• Appreciation for the unique challenges SMBs face in adopting AI, with passion for democratizing access to advanced technology
• Insatiable appetite for learning about cutting-edge AI research and its practical applications
• Tendency to explore multiple solutions before settling on the optimal approach
• Strong bias toward reusable, scalable solutions that maximize impact
• Thrives in flat organizational structures where every voice matters and collective success is the goal
• Lives and breathes data, with natural instincts for uncovering meaningful patterns and relationships

Why this role matters:

• You'll be joining a small, high-impact team where your work directly empowers thousands of SMBs to compete with enterprise-level marketing sophistication. Our flat hierarchy means your ideas shape our product direction, and our focus on agentic AI puts you at the forefront of one of the most exciting areas in machine learning. This isn't just about building models—it's about democratizing AI and creating lasting impact for businesses that form the backbone of the world’s economy.