Director, Data Science

Key Skills

Aartificial intelligence, AWS, Database, Framework, Google Cloud Platform (GCP), Machine learning techniques, Natural Language Processing (NLP), Python Programming, SQL

Job Description

About the role:

This is a unique opportunity to join our fast-growing Data Science team. In the role of Director, Data Science you will be responsible for building & leading a Data Science team who creates and operationalizes Machine Learning models and automated tools that use internal and external data to identify and capture opportunities to improve client retention. We are looking for a great structured thinker & creative problem solver who can design and deliver solutions that meet stakeholder needs while powering through many constraints and dependencies. A senior leader who is aware of the larger data science landscape, who leans in and partners across multiple stakeholders to build alliances and deliver valuable and usable tools and insights.

What you will do:

• Work closely with executive business leaders across Research, Product, and other organizations to influence their priorities while translating the complex data science implications to the technical teams

• Create a strategy and overall vision for where and how data science can further develop scaled insights that increase client value and retention through improved Research and Products. A few potential projects or domains you may get involved with:

• Lead teams to use statistical modelling to identify the highest value assets (including research content, analyst interactions with clients, and product functionality like the client-facing platform, peer, and tools), apply Natural Language Processing (NLP) to sense client demand based on various data sources including search, readership, recoded interactions with Gartner experts, and associates

• Support automation of functionality used by the Research & Advisory organization, including Generative AI, statistical modelling, and NLP

• Support advanced analytics to surface insights about Gartner Research and Products to increase the impact on retention, improve the client experience, and boost economic productivity

• Lead Data Science team operations, engineers and product managers to develop analytics and ML pipelines to support scalable analysis and internal tools

• Partner closely with senior leaders in Global Product Management (Customer & Market Research), Primary Research, Secondary Research, and analytics teams to deliver insights about client demand, the impact of our insights, and the consumability of our content

• Foster a culture of thinking with a platform mindset to build reusable data sources, analytical approaches and globally- applicable models

• Be a champion for quality in all that we do; promote best- in- class quantitative methods and process documentation

• Inject the latest and most applicable technology, including Machine Learning, Artificial Intelligence, Generative AI, Natural Language Processing, and Statistical Modelling

What you will need:

• Degree (advanced degree preferred) in a quantitative research field (e.g., Math, Operations Research, Physical Science, Computer Science, Economics or Engineering, etc.).

• 10-13 years of relevant experience in data science along with 5+ years in managing a team of data scientists

• Well-versed with a wide range of analytical techniques & the foundational approaches to the major data science disciplines, such as data preparation, advanced statistics, machine learning, data pipelining and natural language processing and influence the work of others

• Experience managing a budget

• 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 external ML/Data Science community

• Experience and proficiency with various programming languages (Python), machine learning models (transformers), statistical packages, SQL/relational databases, and cloud computing (AWS, GCP).

• Ability to simplify complex projects by applying structured frameworks

• Desire and ability to develop and coach data scientists

• Superior verbal and written communication skills

• Experience influencing senior executives and working through formal and informal networks to achieve cross-functional outcomes

What you will get:

Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!

Collaborative, team-oriented culture that embraces diversity

Professional development and unlimited growth opportunities

#LI-PM3

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 mission-critical priorities. We’ve grown exponentially since our founding in 1979 and we're proud to have over 19,500 associates globally that support over 15,000 client enterprises 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 diversity 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.