Job description

The Insights and Product Analytics team (IPA) organization is responsible for business performance of all research products and performs analysis related to all aspects of Gartner’s Business and Technology Insights business unit. This includes client value drivers: Research content, Client interaction, and the insights into conferences and events. IPA also supports the BTI organization by enabling and performing analysis running from client retention analytics, associate performance analytics, budget and financial analysis (in partnership with the finance organization), and client demand sensing.  We power fact-based decision making by providing data, insights, and analytic tools to continuously improve our business – operationally and strategically. We’re committed to attracting the most creative, talented, and motivated students for our Associate Data Scientist and Data Scientist roles.    What you’ll do:   ● Execute large scale, high impact data modeling projects with responsibility for designing, developing, validating, socializing, operationalizing, and maintaining data-driven analytics that provide business insights to increase operational efficiency and customer value.  ● Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives.  ● Conduct all phases of the analytics process. Including: Understanding business issues, proposing technical solutions, data wrangling, data cleaning, data analysis, feature engineering, model selection, model development, model validation, model operationalization, presentation of results and insights, model implementation, model documentation.  ● Convert “top-down” business initiative requirements into actionable data analytics projects as well as conceiving and proposing “bottom-up” analytics innovations.  ● Communicate technical solutions and results to business stakeholders.  ● Partner with business stakeholders, IT, Project Management and lead the design and delivery of innovative analytics solutions.  ● Inject the most applicable technology, including Machine Learning, Artificial Intelligence, Generative AI, Natural Language Processing, and Statistical Modelling.    Job Requirements:   ● Education: Master’s degree or Bachelor’s Degree with at least 2 years of related experience required.  -Degrees in Engineering, Masters of Statistics, Computer Science, Mathematics, Applied Mathematics, Data Science, or related field preferred.  ● Previous experience must include data modeling experience in a business environment.  ● In-depth knowledge of statistical principles and their application in modeling and data analysis.  ● Experience developing and applying descriptive, predictive, prescriptive models.  ● In-depth NLP knowledge and application experience.  ● Expertise in Python, SQL, Spark. Basic skills in PBI, Excel, Power Point.  ● Experience with multiple modeling techniques such as: Time Series, Random Forests, Clustering, Neural Networks, Generalized Linear Models, Optimization, DOE, Dimensionality Reduction.  ● Experience with churn analysis, profiling, recommendation systems.  ● MLOps experience (implementing models/algorithms into production systems).  ● Ability to work in a fast-paced environment and deliver against milestones.  ● Excellent communication skills in technical and business domains.  ● Proven ability to influence key stakeholders and leaders.  ● Work authorization: This role requires U.S. work authorization  #LI-DNI #earlycareers 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. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 90,000 USD - 118,000 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 seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at 1 (203) 964-0096 or by sending an email to ApplicantAccommodations gartner.com . Job Requisition ID:113311 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: jobs.gartner.com For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Requirements

Must-haves

Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives.
Convert “top-down” business initiative requirements into actionable data analytics projects as well as conceiving and proposing “bottom-up” analytics innovations.
Communicate technical solutions and results to business stakeholders.
Partner with business stakeholders, IT, Project Management and lead the design and delivery of innovative analytics solutions.
Inject the most applicable technology, including Machine Learning, Artificial Intelligence, Generative AI, Natural Language Processing, and Statistical Modelling.
Education: Master’s degree or Bachelor’s Degree with at least 2 years of related experience required.
Previous experience must include data modeling experience in a business environment.
In-depth knowledge of statistical principles and their application in modeling and data analysis.
Experience developing and applying descriptive, predictive, prescriptive models.
In-depth NLP knowledge and application experience.
Expertise in Python, SQL, Spark. Basic skills in PBI, Excel, Power Point.
Experience with multiple modeling techniques such as: Time Series, Random Forests, Clustering, Neural Networks, Generalized Linear Models, Optimization, DOE, Dimensionality Reduction.
Experience with churn analysis, profiling, recommendation systems.
MLOps experience (implementing models/algorithms into production systems).
Ability to work in a fast-paced environment and deliver against milestones.
Excellent communication skills in technical and business domains.
Proven ability to influence key stakeholders and leaders.
Work authorization: This role requires U.S. work authorization
#earlycareers
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.
What makes Gartner a great place to work?
We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Nice-to-haves

-Degrees in Engineering, Masters of Statistics, Computer Science, Mathematics, Applied Mathematics, Data Science, or related field preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaipythonsqlgo

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

401k

Pto