Data Scientist - ML & NLP

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

About the 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 engineer to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging data set 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 will do:

Here is a sample of some initiatives that our data scientists work on.

• Automate several content delivery modules to engage clients using machine learning algorithms
• Analyze surveys and correlation between survey responses and client engagement in a meaningful way so as to result in actionable insights
• Use regression models to determine factors that impact retention leading to client engagement
• Meaningful extraction of key client priorities using text analytics
• Write tools to process both structured and unstructured data
• Derive what content to recommend to clients when our Service Associate is looking to engage a client
• Extract features and signals from diverse data collections

What you will need:

• BS/MS/PhD in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus)
• 7+ years’ experience in data science methodologies as applied to live initiatives or software development
• Knowledge or R or Python needed
• Minimum 2 years working experience in several of the following:
  • 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

What you will get:

• Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP)
• Collaborative, team-oriented culture that embraces diversity 
• Professional development and unlimited growth opportunities

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.