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Sr Data Scientist

  • Stamford, CT / Remote - New York / Remote - New Jersey / Remote - West Virginia / Remote - North Carolina / Remote - Vermont / Remote - Maryland / Remote - Massachusetts / Remote - Minnesota / Remote - Michigan / Remote - Maine / Remote - Illinois / Remote - Virginia / Remote - Texas / Remote - Tennessee / Remote - South Carolina / Remote - Rhode Island / Remote - Georgia / Remote - Pennsylvania / Remote - Florida / Remote - Delaware / Remote - District of Columbia / Remote - Ohio / Remote - Connecticut / Remote - New York City
  • Products

Description

Title: Senior Data Scientist - Client Experience Digital Platform

About the role:

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 leaders 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 lead:

  • Applying Natural Language Processing and predictive modeling to understand client’s search query intent so we can offer relevant content

  • Develop natural language question and answer capabilities

  • Use machine learning to develop self-correcting algorithms to improve recommendations across web, mobile, and email channels

  • Leverage internal and external data to understand client’s company level priorities, competitive landscape and deliver targeted support

  • Use predictive modeling to develop forward-looking projections of client engagement

  • Conceptually mapping cause and effect relationships to statistical models to develop a robust understanding of business drivers

  • 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

  • Work with engineering and product teams to launch MVPs so we can learn and iterate quickly

  • Work with cross functional teams to scale the proven experience to all clients

What you will need:

  • 3-6 years hands-on experience building predictive models, recommendation systems, or other machine learning/artificial intelligence applications to drive business impact

  • Master’s Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required

  • Demonstrated ability to translate quantitative analysis into actionable business strategies

  • Working experience in some of the following data science domains:

    • Machine Learning and Predictive modeling

    • Text mining and Natural Language Processing

    • Recommendation systems

    • Search engine and Information Retrieval

    • Data analytics with multi-dimensional data

    • Generative models

    • Graphical models

  • Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle

  • Connections to the recommendations and / or information retrieval academic community

  • Ability to implement the latest ML research to improve our current algorithms

  • Experience and proficiency with various programming languages (e.g., Python), machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning (e.g., 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 managing and 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

  • A bias for action and client outcome-oriented approach

Benefits
We offer a highly competitive rewards and benefits package including company benefits with full medical, dental, and vision starting on day one, 401(k) with company match, tuition reimbursement, wellness rewards, 20 days of paid time-off, and more. Gartner is a high growth company which will provide the right candidate with a wealth of career development opportunities. All Gartner associates strive to be high performers, problem solvers and team players with passion, integrity, and effectiveness. We strive to attract exceptional people who really enjoy what they do. Are you ready to jump on board?

Our awards and accolades:

  • Fortune World’s Most Admired Companies 2016, 2017, 2018, 2019, 2020 & 2021
  • Forbes America’s Best Employers 2018, 2019; Best Management Consulting Firms 2017, 2018, 2019
  • Human Rights Campaign Corporate Equality Index Best Places to Work for LBGTQ Equality 2018, 2019, 2020 & 2021 
  • Careers & the disABLED Magazine Top 50 Employers 2021

Who are we?

Gartner delivers actionable, objective insight to executives and their teams. Our expert guidance and tools enable faster, smarter decisions and stronger performance on an organization’s most critical priorities. We’ve grown exponentially since our founding in 1979 and we're proud to have nearly 16,000 associates globally that support our 14,000+ clients 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 variety 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.

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  ApplicantAccommodations@gartner.com .

Job Requisition ID:57860

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