Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

This role will assist and support the evaluation of proprietary and third-party data, to develop machine learning algorithms to interrogate data, and to develop and implement a scaling stack to develop products for the purpose of business intelligence.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Works on assigned cross-functional research or analytical projects leveraging advanced computational algorithms.
• Applies the tools of modern data science using open source architecture to the analysis of CBRE's proprietary data
• Supports data research efforts for product development for internal and external clients.
• Develops custom algorithms for solving real estate business problems across a wealth of structured and unstructured data across multiple data sources.
• Supports the Senior Scientist in the tracking and evaluation of data sources.
• Performs other duties as assigned.

SUPERVISORY RESPONSIBILITIES

No formal supervisory responsibilities in this position. May provide informal assistance such as technical guidance, and/or training to coworkers. May coordinate and assign tasks to co-workers within a work unit and/or project.

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential 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

Masters or Ph.D. degree from top tier school in applied data science computer science, engineering, applied math or related degree. Minimum 3-4 years of experience in statistical analysis, data engineering, and data visualization. Consideration given to equivalent combination of education and experience.

CERTIFICATES and/or LICENSES

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

COMMUNICATION SKILLS

Excellent written and verbal communication skills. Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to internal customers. Ability to effectively present information.

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 comprehend, analyze, and interpret complex documents. Ability to solve problems involving several options in situations. Requires advanced analytical and quantitative skills.

OTHER SKILLS and 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 thorough understanding of procedures, company policies, and business practices to achieve general results and deadlines. Responsible for setting work unit and/or project deadlines. Errors in judgment may cause short-term impact to department.