Job Title

Senior Data Scientist Engineer

Job Description Summary

Location:
2021 McKinney Avenue, Suite 900, Dallas, TX 75201; Hybrid – in office 2 times a week

Roles and Responsibilities:

Senior Data Scientist Engineer for Cushman & Wakefield U.S., Inc.

A key member of the team responsible for development and execution of a comprehensive data
strategy aligned with the organization’s goals and objectives, and turning raw data into
actionable insights that drive business. Responsible for the ingestion, storage, modeling, and
consumption of enterprise data. Responsible for leading the design of data solutions, ensuring
good performance, scalability and accuracy. Supervise and support the implementation of ETL
pipelines and oversees required configuration. Develop data migration and data engineering
solutions utilizing Microsoft Azure products and services. Leverage advanced AI/ML skills to
uncover trends, identify opportunities, support strategic decision-making, and solve complex
business problems. Will be the subject matter expert with an in-depth knowledge of quantitative
methods and diligent knowledge of data sources and tools.

Job Description

Primary duties and responsibilities will include the following:

• 15%:Optimize Azure Data Lake Storage (ADLS Gen2) to store and manage raw and processed data efficiently, ensuring proper access control and data security.
• 15%:Build and manage Azure Data Synapse/Azure Data Factory pipelines to orchestrate complex data workflows. Monitor the execution of data pipelines in the production environment and troubleshoot and return failures to service, supporting real-time integrations, and ensuring the availability and reliability of our data.
• 10%:Develop and maintain data models that support business needs, leveraging PySpark for data manipulation and transformation. Support business teams as a subject-matter expert on Data Migration and maintenance best practices.
• 10%:Work in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. Assist with the development of the business case for requested system enhancements.
• 15%:Design, develop, implement and maintain analytical models and solutions using Machine Learning, AI and other advanced analytical capabilities to support business objectives.
• 10%:Conduct complex data analyses and communicate & visualize results to drive business insights and support more effective decision-making. Collaborate with stakeholders (data science and product teams) to drive solutioning and POC discussions.
• 10%:Serve as a subject matter expert to improve the organization's systems and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and AI practices.
• 10%:Design, develop, test, deploy, maintain, and improve machine learning system software.
• 5%:Perform data mapping, profiling and processing activities to support the source system to Data Lake Storage migrations. Pull data from external sources using APIs & web scraping

Job requirements:

Master’s degree or foreign equivalent in Computer Science, Information Technology, Data Science, or other directly related field of study; plus 2 years (24 months) of experience in the offered position or other closely related positions.In the alternate, employer will accept Bachelor’s degree or foreign equivalent in Computer Science, Information Technology, Data Science, or other directly related field of study; plus 5 years (60 months) of experience in the offered position or other closely related positions.Experiences may be concurrent. Travel to various US office locations to engage the business in person (15%).

Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.

The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications.

The company will not pay less than minimum wage for this role.

The compensation for the position is: $ 144,797.50 - $170,350.00