Data Scientist

Gartner · Irving, TX

Hybrid
Full-time
$133,000 / year
Irving, TX

Job highlights

Develop state-of-the-art LLM agents for business workflows.
Derive insights from unstructured text data using Generative AI.
Predict client interest and recommend value-driven actions.
Apply ML and statistical techniques to client data.
Build churn prediction models and process data effectively.

About the role

About This Role

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.

What You’ll Do

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.

What You’ll Need

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: Prompt Engineering and working with LLMs, Machine Learning and statistical techniques, Data mining and recommendation systems, Natural Language Processing and Information Retrieval, Experience working with large volumes of data, User behavior modeling.

Who You Are

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.

What we offer

A collaborative, positive culture. You’ll work with people who are as enthusiastic, smart and driven as you are. You’ll be managed by the best too. Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization.

About Gartner:

Gartner, Inc. (NYSE: IT) is the world’s leading information technology research and advisory company. We deliver the technology-related insight necessary for our clients to make the right decisions, every day. We work with every client to research, analyze and interpret the business of IT within the context of their individual role. Founded in 1979, Gartner is headquartered in Stamford, Connecticut, U.S.A – Visit gartner.com to learn more.

Diversity, inclusion and engagement at Gartner:

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, caste, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship status, age, national origin, ancestry, disability, or any other characteristic protected by applicable law. Gartner affirmatively seeks to advance the principles of equal employment opportunity and values diversity and inclusion. Gartner is an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified applicant with a disability and unable to or limited in your ability to use or access the Gartner’s career webpage as a result of your disability, you may request reasonable accommodations by calling Human Resources at +1203-964-0096 or by sending an email to Applicant.Assistance@gartner.com.

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us.

Key skills/competency

Data Science
Large Language Models (LLM)
Generative AI
Python
Machine Learning
Statistical Analysis
Natural Language Processing (NLP)
Information Retrieval
Data Mining
User Behavior Modeling

Skills & topics

Data Scientist
Machine Learning
Generative AI
LLM
Python
NLP
Data Analysis
Statistical Modeling
Information Retrieval
Business Intelligence
Computer Science
AI
Data Engineering
Software Development

How to get hired

Tailor your resume: Highlight experience with LLMs, Generative AI, Python, and statistical analysis relevant to Gartner's Data Scientist role.
Showcase your impact: Quantify achievements in past data science projects, emphasizing problem-solving and business impact.
Prepare for technical interviews: Brush up on Python, machine learning algorithms, NLP, and experience with large datasets.
Demonstrate cultural fit: Emphasize teamwork, a passion for learning, and innovative problem-solving in your applications and interviews.
Research Gartner's AI focus: Understand their position as an AI authority and how your skills align with their mission.

Technical preparation

Master Python for data science and ML.,Practice ML algorithms and NLP concepts.,Build projects using LLMs and Generative AI.,Learn data processing for large datasets.

Behavioral questions

Describe a complex technical challenge you solved.,How do you collaborate with team members?,Share an example of your continuous learning.,How do you approach innovative problem-solving?

Frequently asked questions

What are the key technologies for a Data Scientist at Gartner?: For the Data Scientist role at Gartner, key technologies include Large Language Models (LLMs), Generative AI, Python for coding and statistical analysis, Machine Learning techniques, Natural Language Processing (NLP), Information Retrieval, and Data Mining. Experience with user behavior modeling and handling large volumes of data is also highly valued.
What educational background is preferred for a Data Scientist at Gartner?: Gartner prefers candidates with a Bachelor's degree in Computer Science, Math, Physics, Statistics, or Economics. A Master's degree is a plus, especially with a focus on Natural Language Processing or Information Retrieval.
How much experience is required for the Data Scientist position at Gartner?: The role requires 4 years of experience in data science methodologies applied to live initiatives or software development, with specific experience in Generative AI projects. A minimum of 4+ years in Python coding and statistical analysis, and at least 2 years in areas like Prompt Engineering, LLMs, ML, NLP, or data mining are also necessary.
What kind of business problems will a Data Scientist at Gartner work on?: A Data Scientist at Gartner will tackle challenging business problems by designing LLM-based agents, deriving insights from unstructured text data (like call transcripts and emails), predicting client interest, developing customer churn models, and engineering features for ML models.
Does Gartner offer opportunities for professional growth for Data Scientists?: Yes, Gartner emphasizes limitless growth and learning opportunities, offering the excitement of a fast-paced entrepreneurial workplace alongside the professional development support of an established global organization. They are at the forefront of the AI revolution, providing ample chances to grow skills and build a meaningful career.
What is the work environment like for a Data Scientist at Gartner?: The work environment at Gartner is described as collaborative and positive, with a focus on teamwork and learning. The company culture values innovation and detail-orientation, and the role is part of a new venture with a start-up feel within a larger global organization.
How does Gartner approach diversity and inclusion for its Data Scientist roles?: Gartner is committed to providing equal employment opportunities and advancing diversity and inclusion. They seek to create an inclusive environment for all applicants and employees, regardless of various characteristics protected by law, and offer opportunities to all job seekers, including those with disabilities.
What is the salary range for a Data Scientist at Gartner?: The estimated base salary range for this Data Scientist role at Gartner is $98,000 to $133,000 USD annually, with potential for bonuses and additional incentives. Actual pay may vary based on factors like education, experience, and location.

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About the role

About This Role

What You’ll Do

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.

What You’ll Need

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: Prompt Engineering and working with LLMs, Machine Learning and statistical techniques, Data mining and recommendation systems, Natural Language Processing and Information Retrieval, Experience working with large volumes of data, User behavior modeling.

Who You Are

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.

What we offer

About Gartner:

Diversity, inclusion and engagement at Gartner:

Who are we?

What makes Gartner a great place to work?

Gartner is the world authority on AI

What do we offer?

Key skills/competency

Data Science
Large Language Models (LLM)
Generative AI
Python
Machine Learning
Statistical Analysis
Natural Language Processing (NLP)
Information Retrieval
Data Mining
User Behavior Modeling

How to get hired

Tailor your resume: Highlight experience with LLMs, Generative AI, Python, and statistical analysis relevant to Gartner's Data Scientist role.
Showcase your impact: Quantify achievements in past data science projects, emphasizing problem-solving and business impact.
Prepare for technical interviews: Brush up on Python, machine learning algorithms, NLP, and experience with large datasets.
Demonstrate cultural fit: Emphasize teamwork, a passion for learning, and innovative problem-solving in your applications and interviews.
Research Gartner's AI focus: Understand their position as an AI authority and how your skills align with their mission.

Frequently asked questions

What are the key technologies for a Data Scientist at Gartner?

For the Data Scientist role at Gartner, key technologies include Large Language Models (LLMs), Generative AI, Python for coding and statistical analysis, Machine Learning techniques, Natural Language Processing (NLP), Information Retrieval, and Data Mining. Experience with user behavior modeling and handling large volumes of data is also highly valued.

What educational background is preferred for a Data Scientist at Gartner?

Gartner prefers candidates with a Bachelor's degree in Computer Science, Math, Physics, Statistics, or Economics. A Master's degree is a plus, especially with a focus on Natural Language Processing or Information Retrieval.

How much experience is required for the Data Scientist position at Gartner?

The role requires 4 years of experience in data science methodologies applied to live initiatives or software development, with specific experience in Generative AI projects. A minimum of 4+ years in Python coding and statistical analysis, and at least 2 years in areas like Prompt Engineering, LLMs, ML, NLP, or data mining are also necessary.

What kind of business problems will a Data Scientist at Gartner work on?

A Data Scientist at Gartner will tackle challenging business problems by designing LLM-based agents, deriving insights from unstructured text data (like call transcripts and emails), predicting client interest, developing customer churn models, and engineering features for ML models.

Does Gartner offer opportunities for professional growth for Data Scientists?

Yes, Gartner emphasizes limitless growth and learning opportunities, offering the excitement of a fast-paced entrepreneurial workplace alongside the professional development support of an established global organization. They are at the forefront of the AI revolution, providing ample chances to grow skills and build a meaningful career.

What is the work environment like for a Data Scientist at Gartner?

The work environment at Gartner is described as collaborative and positive, with a focus on teamwork and learning. The company culture values innovation and detail-orientation, and the role is part of a new venture with a start-up feel within a larger global organization.

How does Gartner approach diversity and inclusion for its Data Scientist roles?

Gartner is committed to providing equal employment opportunities and advancing diversity and inclusion. They seek to create an inclusive environment for all applicants and employees, regardless of various characteristics protected by law, and offer opportunities to all job seekers, including those with disabilities.

What is the salary range for a Data Scientist at Gartner?

The estimated base salary range for this Data Scientist role at Gartner is $98,000 to $133,000 USD annually, with potential for bonuses and additional incentives. Actual pay may vary based on factors like education, experience, and location.