Data Scientist, Business Analytics

Description

The Global Product Management (GPM) organization is responsible for business performance of all research products. The Research Business Analytics (RBA) team is part of GPM and performs analysis related to all aspects of Gartner’s Research. This includes client value drivers: Research content, research interaction, and the research role in conferences and events. RBA also supports the Research & Advisory (R&A) 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.

Responsibilities:

• 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.

Requirements:

• 3-6 years data modeling experience in a business environment.
• Bachelor’s Degree required. Master’s degree preferred. Technical degrees with a concentration in statistics, data science, computer science or related field preferred.
• 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.

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 92,000 USD - 130,410 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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