Senior Data Scientist Engineer

About the role

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.

Responsibilities

• Optimize Azure Data Lake Storage (ADLS Gen2) to store and manage raw and processed data efficiently, ensuring proper access control and data security.
• 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.
• 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.
• 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.
• Design, develop, implement and maintain analytical models and solutions using Machine Learning, AI and other advanced analytical capabilities to support business objectives.
• 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.
• 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.
• Design, develop, test, deploy, maintain, and improve machine learning system software.
• 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.

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%).

Benefits

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.

Pay

$ 144,797.50 - $170,350.00

Schedule

Hybrid – in office 2 times a week