Data Scientist

Gartner•Stamford, CT

1d•Hybrid

About The Position

In Gartner’s Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team.

Requirements

BS required/ MS/ preferred; in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus)
4 years’ experience in data science methodologies as applied to live initiatives or software development// Experience working with Gen AI projects
Minimum 4+ years of experience in python coding and statistical analysis
Minimum 2 years working experience in several of the following: o Prompt Engineering and working with LLMs o Machine Learning and statistical techniques o Data mining and recommendation systems o Natural Language Processing and Information Retrieval o Experience working with large volumes of data o User behavior modeling
A team player. You get along well with your colleagues and are always ready to help get things done. You enjoy working on projects with multiple people and share knowledge.
Passionate about learning. You thrive on complex technical challenges and are always eager to learn the latest technologies.
Organized and detailed-oriented. You think ahead of time about how best to implement new features, and your code is clean, well-organized and properly documented.
Innovative. You are always proactively looking for opportunities to problem solve using innovative methods that impact the business

Responsibilities

Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow.
Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails.
Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery
Leverage statistical and machine learning techniques to extract actionable insights from client retention data.
Develop customer churn prediction models that proactively identify at-risk clients,
Build tools to process structured and unstructured data
Engineering features and signals to train ML model from diverse data collection