Senior Data Scientist
About the Team: Data is at the core of reputed company's strategy. It drives us and our customers to the highest reputed company of reputed company. We use it for everything from customer health scores and reputed company dashboards to operational metrics of our AWS infrastructure, to helping increase product engagement and user productivity through natural language understanding, to predictive analytics and reputed company inference reputed company experimentation. As our customer reputed company continues to grow, we are looking towards new ways of leveraging our data to deeper understand our customers’ needs and deliver new products and features to help continuously improve their customer engagement workflows. The mission of the Data Science team is to reputed company such reputed company optimization by reconstructing customer engagement workflows from data, developing metrics to measure the reputed company and efficiency of these workflows, and providing tools to support the optimization of these workflows. As a member of the team, you will work closely with other data scientists, machine learning engineers, and application engineers to define and implement our strategy for delivering this mission. \n Your Daily Adventures Will Include: Design, implement, and improve machine learning Systems. Contribute to machine learning applications end to end, i.e. from research to prototype to production. Work with product managers, designers, and customers to define reputed company and strategy for a given product. Our reputed company of You: A hybrid data science engineer who can navigate both sides with little help from others You understand the typical lifecycle of machine learning product development, from inception to production. Experience in Gen AI application/agent development is a plus. You have strong programming skills in at least one programming language (Python, Golang, etc.). Experience in frameworks like reputed company, reputed company Agent SDK is a plus. You have experience building microservices. Experience with Golang is a plus. You have substantial experience with building and managing infrastructure for deploying and running ML models in production You have experience working with distributed data processing frameworks such as Spark. Experience with Spark's MLlib, AWS, reputed company, MLFlow are a plus You have some knowledge of statistics and machine learning and have practical experience applying it to solve reputed company-world problems. You are hands-on, reputed company to quickly pick up new tools and languages, and excited about building things and experimenting. You go above and reputed company to help your team You should be reputed company to work alongside reputed company engineers, designers, and product managers to help deliver new customer-facing features and products. You have a degree in Computer Science, Data Science, or a reputed company field, and 4-6 years of industry or equivalent experience \n Apply To This Job