Advanced Data Scientist developing in - house and third - party analytical systems at Honeywell. Leverage AI - ML models and data mining techniques to enhance security insights.
About the role
- Data Science & Artificial Intelligence Lead at Uphold overseeing AI and ML initiatives for their blockchain platform. Driving business impact through innovative AI solutions and team leadership.
Responsibilities
- Technically own and execute the company-wide AI strategy, covering both in-house ML initiatives and the adoption of generative AI tools.
- Lead a team of machine learning engineers, data scientists, and AI researchers focused on delivering real business impact.
- Oversee the development, deployment, and monitoring of ML models, including those used for churn prediction, fraud detection, user segmentation, and personalization.
- Champion experimentation, causal inference, and model evaluation best practices to ensure rigor during decision making.
- Evaluate and integrate GenAI tools (e.g., ChatGPT, Gemini) to automate internal workflows, improve efficiency, and enhance user-facing experiences.
- Collaborate with Product, Engineering, Operations, Risk, and Compliance to identify high-value AI use cases and translate them into scalable solutions.
- Define best practices for responsible AI, including bias mitigation, data privacy, explainability, and governance.
- Establish platform and tooling strategy for model development, training, deployment, and monitoring at scale.
- Stay on top of advancements in the AI/ML field, guiding long-term innovation efforts and ensuring Uphold remains at the forefront.
- Mentor and grow AI talent, supporting career development and technical excellence across the team.
- Report to the executive team and board, showcasing how AI is contributing to core business goals.
- Evangelize a data-driven culture throughout Uphold’s multiple business units.
Requirements
- 8+ years of experience in data science, machine learning, or applied AI.
- 1+ years in data leadership roles, with a proven ability to scale teams and drive cross-functional data initiatives.
- Deep experience in applied machine learning, including supervised/unsupervised learning, model lifecycle management, and evaluation.
- Experience deploying models into production environments, including monitoring, retraining, and observability practices.
- Strong working knowledge of LLMs, embeddings, prompt engineering, and GenAI integrations.
- Proficiency with modern ML infrastructure, frameworks, and tools (e.g., Python, TensorFlow, PyTorch, LangChain, Weights & Biases, etc.).
- Track record of turning AI/ML solutions into business value across different domains (e.g., fraud, growth, operations, customer support).
- Excellent communication and stakeholder management skills, including experience presenting to C-level and non-technical audiences.
- Knowledge of AI governance and ethical considerations in real-world applications.
- Fluent written and oral English skills.
Benefits
- An amazing work environment in a company that continues to grow, driven by extraordinary and passionate people who keep up innovating and challenging more each day.
- An international team, in a cutting-edge field, working on the most fascinating projects.
- Growth and career opportunities, and the chance to be proactive and creative.
- A flexible and enthusiastic work environment that offers you snacks, a lot of coffee, and other great benefits.
- Open and transparent culture - we get together on a weekly basis to share updates, and strategic plans, and engage with each other informally over food and drinks.
- Interesting events that keep you connected with the team and celebrate our success.
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