Melio
SeniorDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist at Melio. Skills: Machine Learning, Gen-AI models, AI Agents, Risk prevention. Lead design of ML models. Build ML models”
What You'll Achieve.
Help small businesses manage finances; Grow customer base; Maintain low-risk profile; Proactively identify fraud patterns; Mitigate financial risk; Maintain seamless user experience; Ensure reliability in production; Ensure accuracy in production
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
7+ years of experience, B. Sc in Computer Science, B. Sc in Software Engineering, B. Sc in Mathematics, B. Sc in Electrical, B. Sc in Statistics, SQL proficiency, Machine Learning projects
Nice to Have
3+ years with a PhD, M. Sc in Computer Science, M. Sc in Software Engineering, M. Sc in Mathematics, M. Sc in Electrical, M. Sc in Statistics, PhD in Computer Science, PhD in Software Engineering, PhD in Mathematics, PhD in Electrical, PhD in Statistics, Experience developing models in Risk domain, Experience in Fraud Detection, Experience in Anomaly Detection, Experience in Anti-Money Laundering, Experience in Fintech, Cloud platform certs
What You'll Do.
Lead design of ML models
Lead design of Gen-AI models
Contribute to Data Science strategy
Identify business opportunities
Identify technological opportunities
Set high technical standards
Drive AI Agents efforts
Build agentic workflows
Evaluate agentic workflows
Ensure solutions transition to production
Mitigate financial risk
How You'll Work.
Team & Collaboration
Working with engineering; Cross-functional teams
Communication Scope
Evaluating risk decisions
Process & Methodology
End-to-end execution
Full Job Description
We are seeking a talented and highly experienced Senior Data Scientist to join our Data Science team within the critical Risk domain. This role uniquely combines hands-on development of vital risk prevention models, contributing to the technological strategy, and driving innovation in the field of AI Agents. Qualifications: 7+ years of experience as a Data Scientist, with a proven track record of applying advanced statistical and machine learning methods on real-world problems (or 3+ years with a PhD). Strong background and practical experience leading the end-to-end execution of complex Machine Learning projects. Comfort with the realities of risk modeling: highly imbalanced and adversarial data, delayed/noisy labels, and the precision-vs-recall tradeoffs of acting on legitimate users. Full ownership of projects from initial idea through production deployment, working closely with engineering to get there. Experience in Generative AI, defining, building and evaluating AI-agents and leveraging foundational language models for introducing advanced new capabilities within existing products and systems. Experience in working with large-scale data processing pipelines, Cloud Computing and Machine Learning Operations. Demonstrated habit of working with AI: actively use LLMs/agentic tooling in your day-to-day workflow, and you instinctively turn recurring problems into reusable automation. B.Sc in Computer Science, Software Engineering, Mathematics, Electrical, Statistics, or a related quantitative field. Bonus points: Experience developing models in the Risk domain (such as Fraud Detection, Anomaly Detection, Anti-Money Laundering) or Fintech. M.Sc/PhD in Computer Science, Software Engineering, Mathematics, Electrical, Statistics, or a related quantitative field. How is your day going to look, what will you be doing? As a Senior Data Scientist for Risk, you will be responsible for: Hands-on Development: Actively leading the design, building, and deployment of critical Ma
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