Associate Data Scientist

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.

We expect all Associates to exhibit all aspects of the Gartner culture which is based on 5 core values.

• Integrity: Do the right thing.
• Objectivity: Be independent and unbiased in everything we do.
• No-limits mindset: See opportunities where others don't; never settle for the status quo.
• Collaboration: Work together in teams to accomplish more than what is possible individually.
• Results: Execute consistently using global best practices

What you will do:

The Data Scientist responsibilities may include, but are not limited to:

• Build recommendation systems to suggest relevant contents to clients.
• Applying Natural Language Processing and predictive modeling to understand client interests.
• Building user matching models to identify user cohorts.
• Build Notification Send model to optimize notification send volume and schedule.
• Leverage internal and external data to understand client’s company level priorities, competitive landscape and deliver targeted support.

• Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions.
• Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize ideas.
• Collaborate with engineering and product teams to launch MVPs and iterate quickly.
• Independently plan and drive data science projects that deliver clear business value.

Qualifications:

The ideal candidate will have

• 0-2 years of hands-on experience building predictive models, recommendation systems, or other machine learning/artificial intelligence applications to drive business impact
• Bachelor’s or master’s Degree in a quantitative field (math, computer science, engineering, etc.) required.
• Demonstrated ability to translate quantitative analysis into actionable business strategies.
• Strong communication skills in technical and business domains.
• Working experience in some of the following data science areas:
  • Machine Learning and Predictive modeling
  • Text mining and Natural Language Processing
  • Recommendation systems
  • Data analytics with multi-dimensional data
  • Generative models
• Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle
• Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies
• Ability to implement latest ML research to improve our current algorithms.
• Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning (e.g. huggingface, pytorch, tensorflow), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), distributed machine learning (spark), Linux and shell scripting
• Experience with cloud computing services such as AWS or Azure ML
• Ability to work collaboratively across product, data science and technical stakeholders
• Experience mentoring data scientists on a wide variety of projects

• 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

#LI-MG4

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 insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to more than 20,000 associates globally who support ~15,000 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 sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. 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.

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 88,000 USD - 115,920 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.

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 [email protected].

Job Requisition ID:87182

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: https://jobs.gartner.com/applicant-privacy-policy

For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.