Branch Channel Generative AI Team Experimentation and Measurement Senior Associate

Join a team that transforms how we serve millions of customers through AI innovation and build next-generation solutions that reinvent CRMs and reimagine client and employee interactions.

As a Data Science Senior Associate with the Branch Channel Generative AI Team you will develop solutions and experiment with state of the art models at the same time contributing to innovative projects and drive the future of field AI Technologies.

Job responsibilities:

• Design controlled experiments to test and validate hypotheses.
• Translate business needs into data models supporting long-term solutions.
• Work with a wide range of proprietary industry-standard and open-source data stores and tools to assemble organize and analyze data.
• Work closely with data owners and data curation teams to build/or use the relevant data
• Convert data into actionable insights.
• Utilize data visualization tools to effectively communicate findings.

• Leverage statistical and mathematical techniques and algorithms to solve complex business problems.

Required qualifications capabilities and skills:

• MS and/or PhD in Statistics Computer Science Machine Learning or a related field with at least 3 years of model experimentation and at least 3 years experience in applying data science to solve business problems.
• Strong knowledge of various business data and be comfortable to work with data owners and data curation teams to build/or use the relevant data.
• Strong Python and SQL background with at least 3 years experience in those areas.
• Excellent communication and stakeholder management; comfort working across the quad team and understand the required data for a use case.
• Be able to define success metrics run A/B tests independently capture user feedbacks and analyze the results and provide insights.
• Good knowledge of various ML models
• Knowledge of model safety bias and privacy techniques; experience with model risk management and governance.

Preferred qualifications capabilities and skills:

• Experience with PySpark or distributed compute
• Software development experience is a plus
• Deep understanding of Large Language Model (LLM) techniques including Agents Planning Reasoning and other related methods.
• Experience with building and deploying models on cloud platforms such as AWS and AWS tools like Sagemaker EKS etc.