About the Role

CBRE’s Data Science Center of Excellence (CoE) is looking to hire a Senior Data Scientist, based out of our Richardson, Texas campus. S/he would be one of the torchbearers of Data-inspired work across CBRE and will help shape Data Science/Analytics for the People function, among others. As one of the founding companies in Commercial Real Estate (CRE), CBRE is the world’s largest company spanning the spectrum of CRE services. The CoE was established to help Differentiate with Data and promote and productionize Data-inspired products/projects.

Essentially looking for an Analytic mind, to strategically create and drive not just insights sought by Business but think/act beyond the mere essentials. Intuitive understanding of ML Algorithms and faith in their application is needed. We use a programming-language-agnostic ML workspace to version/deliver code.

What you'll do

• Proven functional experience in generating quick and sturdy business insights using standard tools and frameworks, potentially across various tech stacks including Open Source
• Work closely with Data and Software Engineers to provide robust and sustainable Business Intelligence
• Visual thinking of outputs, as Tableau/ Power BI/ Streamlit, etc dashboards. Crispness in communicating the outputs is necessary
• Strong coding skills in R and Python; and scripting in SQL and MS Excel. Any other relevant programming language skills like Java, Scala, Julia, etc would be gladly welcomed
• Dependable hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data optimally
• Demonstrable experience in Supervised and Unsupervised learning – from Regression, Forecasting, Classification, to NLP, Decision and Search Algorithms

What you'll need

• Being an Analytics-focused role, this job mandates clear understanding of frameworks/tools to create reproducible and valid insights while slicing and dicing the data for various needs across the business lines
• Wrapping data insights into narratives and visualizations are great-to-haves. Familiarity with Interpretable/ Explainable Machine Learning and Causal Inference is nice to have.
• Must have anywhere between 4-6 years of impactful experience in creating Data-driven products and productionizing ML models, while being mindful of Data pipelines.
• Bachelor's degree (BA/BS) in disciplines such as Mathematics (Pure/ Applied), Statistics, Computer Science/ Engineering, Information Systems or any other Scientific discipline – along with relevant experience. Or a Masters/ PhD with lesser, but applicable, experience is ideal. Nonetheless, an Analytic conviction in all the outputs is naturally essential.

Why CBRE?

At CBRE, we believe we possess an encouraging environment where integrity, service, and excellence craft our approach to every opportunity. We are guided by the needs of the cities we inhabit, the communities we build and the world we live in.

• CBRE named a Fortune’s Most Admired Real Estate Company Fourteen years in a row
• CBRE agrees to acquire J&J Worldwide Services, a leading provider of engineering services, base support operations and facilities maintenance for the U.S. federal government.
• Named a World’s Most Ethical Company by Ethisphere for 11th consecutive year.
• Ranked #3 on Barron’s Most Sustainable Company list