Gartner - Director - Advanced Analytics/Data Science

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.

Director - Data Science (Algorithms and Data Insights):

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 the Role:

- This is a unique opportunity for a creative and charismatic individual to lead a key data science research and product development team for Gartner Algorithms and Data Insights Group, a fast growing data science organization. Our mission is to drive increasing business impact by building world class data science practices.

- We are looking for a data scientist to lead a group of data scientists, partner with product managers, business analysts and data engineers and developers to build and launch recommendation algorithms, search algorithms and also work on a variety of business problems such as understanding retention drivers, accelerating new business growth by leveraging outside in information, optimizing sales territories through predictive modeling, and more. Manage and mentor, and help develop junior data science staff.

- Qualitative and quantitative market research is required in order to create valuable user experiences, and having great people skills is crucial. Your ability to apply Lean Product Principles to the data science process will both ensure proper ROI and fast iteration of the solution. Just as important is the intuitive ability to move towards the important vs. the interesting. This becomes especially relevant as you lead teams to develop the product opportunities we uncover. Having a strong goal-orientation (vs. a task-orientation) and an anchoring on the client experience and business problems will help you navigate the decisions needed to build great products and deliver strong business results.

What youll do:

- Given the broad areas that we are responsible for, you will likely to start with a domain but may get involved in other domains. A few potential projects you may get involved:

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

- Using machine learning to develop self-correcting algorithms to improve recommendation in homepage feed and emails

- Leverage internal and external big data to understand client's company level priorities, competitive landscape and deliver targeted support

- Using predictive modeling to develop forward-looking projections of client engagement

- Using statistical analysis to properly measure existing algorithms

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

What you' ll need:

- Leverage data science algorithms to deliver client value and ultimately improve retention of clients

- Drive client value through innovating and tailoring algorithms

- Leverage externally available data science tools/algorithms to deliver value to clients

- Develop models to help predict retention outcomes and identify levers to improve outcomes

- Manage and mentor and help develop junior staff (both data science and general business analyst)

Who you are:

The ideal candidate will have

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

- Bachelor's Degree in a quantitative field (math, computer science, engineering, etc.) required; Master and PHD a strong plus.

- 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

- Strong working knowledge of Lean product principles, Software development lifecycle, IT and data science/machine learning topics

- 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

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

- Experience and proficiency with various programming languages (e.g., Python), machine learning tools (e.g., scikit-learn), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), Linux and shell scripting

- Ability to work collaboratively with a variety of business, data science and technical stakeholders

- Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone

- Bias for action and completion.

What we offer:

In addition to an outstanding work environment with rapid advancement potential, Gartner associates enjoy exceptional compensation and benefits, including:

- Competitive base salary

- Flexible work environment

- A great work culture

About Gartner:

Gartner, Inc. (NYSE: IT) is the world's leading information technology research and advisory company. We deliver the technology-related insight necessary for our clients to make the right decisions, every day. We work with every client to research, analyze and interpret the business of IT within the context of their individual role. Founded in 1979, Gartner is headquartered in Stamford, Connecticut, U.S.A.- Visit gartner.com to learn more.

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