Sr Data Scientist
ID de la Vacante
Línea de servicio
GWS Segment
Tipo de función
Tiempo Completo
Richardson - Texas - United States of America
Job summary
Partnering with the Principal Data Scientist, this role will involve developing ML models to infer and learn from (un)structured data. 

Essential duties and responsibilities 
  • Works/leads on complex, cross-functional research or analytical projects demonstrating advanced computational algorithms.
  • Develops custom algorithms for solving sophisticated real estate business problems across a wealth of structured and unstructured data across multiple data sources.
  • Drives quick and sturdy business insights using standard tools and frameworks, potentially across various tech stacks including Open Source
  • Acts as a frontline consult to trigger thinking to solve business problems 
  • Wraps data insights into narratives with visualizations, with special focus on Interpretable/ Explainable Machine Learning and Causal Inference 

Technical and Other Skills
  • Demonstrable experience in Supervised and Unsupervised learning – from Regression, Forecasting, Classification, to NLP, Decision and Search Algorithms. Specialization in one significant ML sub-discipline like NLP or Optimization is encouraged.
  • Explainable understanding of Optimization algorithms and their implementation in at least one programming language.
  • 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. 

Supervisory Responsibilities
No formal supervisory responsibilities in this position 

To perform this job successfully, an individual must be able to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education and Experience
Must have between 4-6 years of impactful experience in creating Data-driven products and productizing ML models, while being mindful of Data pipelines. 
Bachelor's in fields such as Mathematics (Pure/ Applied), Statistics, Computer Science/ Engineering, Information Systems or any other Scientific field – along with proven experience. Or a Masters/ PhD with lesser, but applicable, experience is also welcomed.

Certificates and/or License 
Data Scientist Certification or equivalent combination of experience and/or education.

Communication skills
Ability to comprehend, analyze, and interpret the most complex business documents. Ability to respond optimally to the most critical issues. Ability to write reports, manuals, speeches and articles using distinctive style. Ability to make effective and persuasive presentations on complex topics to employees, clients, top management and/or public groups. Ability to motivate and negotiate effectively with key employees, top management, and client groups to take desired action.

Financial Knowledge
Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.

Reasoning ability
Ability to solve advanced problems and deal with a variety of options in complex situations. Requires expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based multi-industry sales environment. Draws upon the analysis of others and makes recommendations that have a direct impact on the company.

Other skills and/or Abilities
Demonstrated knowledge of R and/or Python, together with SQL.
Demonstrated knowledge of standard machine learning algorithms, based on “An Introduction to Statistical Learning” by James et. al. or similar textbook. Demonstrated knowledge of strengths, weaknesses, and real-world performance of the ML algorithms.
Demonstrated knowledge of web scrapping and data preprocessing.

Scope of responsibility
Decisions made with in-depth understanding and interpretation of procedures, company policies and business practices to achieve general results. Responsible for setting department deadlines. Errors in judgment may cause long-term impact to co-workers, supervisor, department and/or line of business.


NOTE: An additional requirement for this role is the ability to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing.

CBRE Global Workplace Solutions (GWS) trabaja con los clientes para hacer que los bienes raíces sean un aporte de contribución significativo para la productividad y el rendimiento de la organización. Nuestro modelo de gestión de cuentas es la base de nuestro enfoque centrado en el cliente para ofrecer soluciones integradas de bienes raíces. A cada cliente se le confía un líder dedicado y cuenta con el respaldo de recursos regionales y globales, aprovechando la plataforma más robusta de la industria. CBRE GWS ofrece resultados consistentes y notablemente superiores para nuestros clientes en cada etapa del ciclo de vida, y en todas las industrias y geografías.