Sr Principal, Quantitative Analytics and Data Science

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, SQL, PowerBI, Machine learning techniques, Data science techniques, Natural Language Processing (NLP), SPSS Statistics

Job Description

Gartner QUADS (Quantitative Analytics & Data Science) build and develop tools and models to assist our global base of analysts and advisors in creating must-have research for our clients. QUADS use a broad range of data science techniques to distill data from various sources and to synthesize fit-to-task models and tools. QUADS focus on combining natural curiosity and ability to innovate with strong execution on projects.

A Senior Principal QUADS will work with analysts and advisors to create impactful fact-based insights about technology markets.

We are looking for a candidate with hands-on experience with explorative analytics – both in terms of development of new models and tools, as well as harvesting new insights around facts and trends through creative application of state-of the-art data science techniques. We offer an opportunity to work as part of a global data science team, that enables our analysts and advisors to deliver various types of client deliverables driven by quantitative models and data driven insights.

What you will do:

• Create impactful new content for client deliverables through creative application of appropriate data science principles
• Apply critical thinking skills to create analytical frameworks and models
• Identify how insights can be obtained using different data sources and analytical approaches
• Develop and implement models and tools as part of an orchestrated portfolio on a common platform – e.g. buying behavior forecasts based on discrete choice models
• Work with analysts and advisors to identify needs for and offer operational support of models and tools.
• Participate in research community meetings to discuss research issues and work effectively with peers
• Provide high quality and timely peer review on models, data and content

What you will need:

• Masters's degree or equivalent experience
• 4-7 years of relevant field or industry experience
• Structured thinking and problem-solving can-do mindset
• Learning agility and ability to absorb research methodology
• Strong and versatile data science skills
• Experience with Python, SPSS Modeler and Power BI
• Hands-on experience with machine learning and natural language processing
• Business and financial acumen
• Ability to work as a team player, facilitating the workflow of others, in a multicultural global team
• Ability to work under tight deadlines and produce high quality deliverables
• Strong communication skills, written and verbal proficiency