TELECOMMUTE Data Scientist + GenAI

We are building the future of financial technology through the power of AI and generative AI. We are seeking an innovative and hands-on Staff AI Scientist to join our AI team. In this role, you will design, build, and deploy AI solutions that empower businesses, leveraging both traditional machine learning and cutting-edge GenAI approaches. As a senior technical leader, you will shape Customers AI strategy, mentor teams, and ensure that our AI solutions are scalable, responsible, and directly impactful to customers. You will collaborate across product, engineering, and design to deliver intelligent experiences that transform how customers manage their finances. Responsibilities

• Practices leadership and communication skills to influence teams and to evangelize data science across the organization

• Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
• Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the teams work, and holding the team accountable for high quality code, git, design, costs and implementation standards
• Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them model-ready. You need to be willing and able to do your own ETL and design/build featurization.
• Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
• Communicates with partners to ensure successful delivery and integration of AI solutions
• Proactively researches, explores, and enables new AI/ML. Keeps up with the new developments in academia and industry and considers possible extensions to solve our customer problems.
• Tracks academic + industry trends; adopts Multimodal LLMs, Agentic AI
• Designs and deploys LLM-powered solutions using Amazon Bedrock (Claude, Titan), Azure OpenAI, or Databricks DBRX including RAG pipelines, prompt engineering, and fine-tuning
• Designs A/B tests, monitors drift via CloudWatch / Lakehouse Monitoring
• Builds RAG pipelines, LLM apps on Bedrock, Claude, Databricks
• Evaluates models using MLflow, LLM Evaluate + RAGAS
• Partners with Cloud Architects on AWS/Azure cost, security, and design standards

• BS, MS, or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or related field.

• 6+ years of industry experience in applied data science/AI, with a proven track record of delivering production ML/AI solutions.
• Deep knowledge of ML paradigms (supervised/unsupervised learning, reinforcement learning, Bayesian methods, causal inference, deep learning).
• Expertise in NLP and GenAI: transformers, LLMs, prompt engineering, embeddings, RAG, evaluation frameworks.
• Proficiency in Python and modern ML/AI libraries (TensorFlow, PyTorch, etc.).
• Ability to influence technical strategy and product direction across teams.
• Strong communication and presentation skills; able to explain complex concepts to technical and non-technical audiences.