Job description 

What you will do: 

Work closely with executive business leaders across Research, Product, and other organizations to influence their priorities while translating data science implications to 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 in: developing models to identify the highest value assets (including research content, analyst interactions with clients, and product functionality like the client-facing platform, peer, and tools) or applying Natural Language Processing (NLP) to sense client demand based on various data sources including search, readership, recoded interactions with Gartner experts, and associates.

Deliver advanced analytics that 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 Gartner insights, and the consumability of Gartner content

Foster a culture with a platform mindset that builds reusable data sources and globally applicable models using consistent approaches.

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

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

Manage data science process efficiency, consistency, and quality. For example, coding standards, code reviews, peer reviews, ensuring code reusability, providing technical feedback, ensuring solutions are documented

Immediately build and lead a team of six new-hire data scientists

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+ years of relevant experience in data science

Experience hiring, building, and managing a team of data scientists.

Well-versed in a wide range of analytical techniques such as advanced statistics, machine learning, and natural language processing

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 and knowledge in emerging technologies

Experience and proficiency with various programming languages (Python), machine learning models, statistical packages, SQL/relational databases, cloud computing (Azure), and distributed processing (Databricks)

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

Demonstrated ability to conceive and propose innovative solutions to complex business problems

Demonstrated ability to develop roadmaps, lead team execution, validate models, and successfully deliver solutions

What you will get:  

Competitive salary, generous paid time off policy, charity match program, Medical, Dental & Vision Plans, Parental Leave, Employee Assistance Program (EAP), 401K matching and more!

Collaborative, team-oriented culture that embraces diversity 

Professional development and unlimited growth opportunities

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