Full job description Description About the role:
Gartner is a people business. Fueled by expert analysis, bold ideas and intellectual courage -we are a team of thinkers, doers and lifelong learners. We are innately curious, driven, disciplined and humble.
The Client Experience Digital Platform is the go-to place for all clients to interact with Gartner to get value. Our clients are IT and business leaders around the world. They expect to get help from Gartner on their most critical priorities. The Digital Platform is embedded in their workflows to help them on every step of their journey.
Our mission is to deliver tremendous client value by building scalable, intelligent digital products and solutions. We are constantly looking for product management, UX and data science leaders to help us accelerate innovation to disrupt the marketplace and disrupt ourselves.
As a lead data scientist on the Search and GenAI team, you will develop and deploy algorithms that help our clients leverage our digital platform to quickly answer their most critical business questions.
What you will do: (Edit)
The Lead Data Scientist responsibilities may include, but are not limited to:
Build state of the art search and recommendation products Training and deploying transformer-based language models to aid in information retrieval, including cross-encoders, bi-encoders, classification, extraction, and generative models. Leverage generative AI for internal and client facing applications. Productionize deep learning models using scalable inferencing solutions. Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. Collaborate with engineering and product teams to launch MVPs and iterate quickly. Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize ideas. Independently plan and drive data science projects that deliver clear business value. What you will need: (Edit)
The ideal candidate will have
Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required. 5+ years hands-on experience building search engines, recommendation systems, or other machine learning/artificial intelligence applications in production settings. Excellent coding skills with Python machine learning tools (e.g., scikit-learn, pytorch, huggingface) Experience using LLMs (e.g., OpenAI, Cohere, Anthorpic, Llama, etc) to deliver business outcomes. Proficiency with text and vector based search tools, such as SOLR or Elastic. Experience with cloud computing services such as AWS or Azure ML Ability to implement latest ML research to improve our current algorithms. Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and production outcomes. Strong communication skills in technical and business domains. Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle. Ability to work collaboratively across product, data science and technical stakeholders. Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone. Bias for action and client outcome oriented Who are we? At Gartner, Inc. (NYSE: IT), we deliver actionable, objective insight that drives smarter decisions and stronger performance on an organization's mission-critical priorities. We've grown exponentially since our founding in 1979 and we're proud to have over 19,500 associates globally that support over 15,000 client enterprises in more than 100 countries.
What makes Gartner a great place to work? Our teams are composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We believe that a diversity of experiences makes us stronger—as individuals, as communities and as an organization. That's why we're recognized worldwide as a great place to work year after year. We've been recognized by Fortune as one of the World's Most Admired Companies, named a Best Place to Work for LGBTQ Equality by the Human Rights Campaign Corporate Equality Index and a Best Place to Work for Disability Inclusion by the Disability Equality Index. Looking for a place to turn your big ideas into reality? Join #LifeAtGartner
What we offer: Our people are our most valuable asset, so we invest in them from Day 1. When you join our team, you'll have access to a vast array of benefits to help you live your life well. These resources are designed to support your physical, financial and emotional well-being. We encourage continued personal and professional growth through ongoing learning and development opportunities. Our employee resource groups, charity match and volunteer programs keep you connected to your internal Gartner community and causes that matter to you.
Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 120,000 USD - 164,250 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.
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