Gartner - Data Scientist

What makes Gartner a GREAT fit for you? When you join Gartner, you’ll be part of a fast-growing team that helps the world become smarter and more connected. We’re the world’s leading research and advisory company, achieving consistent double-digit growth by steering clients toward the right decisions with business and technology insights they can’t find anywhere else. Our associates enjoy a collaborative work environment, exceptional training and career development — as well as unlimited growth opportunities. If you like working with a curious, supportive, high-performing team, Gartner is the place for you.

Data Scientist

What makes Gartner a GREAT fit for you?

When you join Gartner, you’ll be part of a fast-growing team that helps the world become smarter and more connected. We’re the leader in our industry, achieving double-digit growth by helping clients make the right decisions with business and technology insights they can’t find anywhere else. Our associates enjoy a collaborative work environment, exceptional training and career development — as well as unlimited growth potential. If you like working with a generous, supportive, high-performing team, Gartner is where you want to be.

About this 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’ll 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

Qualifications :

What you’ll need :

- BS/MS/PhD in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus)

- 5+ 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

Who you are :

- A team player. You get along well with your colleagues and are always ready to help get things done. You enjoy working on projects with multiple people and share knowledge.

- Passionate about learning. You thrive on complex technical challenges and are always eager to learn the latest technologies.

- Organized and detailed-oriented. You think ahead of time about how best to implement new features, and your code is clean, well-organized and properly documented.

- Innovative. You are always proactively looking for opportunities to problem solve using innovative methods that impact the business

What we offer :

A collaborative, positive culture. You’ll work with people who are as enthusiastic, smart and driven as you are. You’ll be managed by the best too.

Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization.

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