Cushman & Wakefield
We will never settle for the world that’s been built, but relentlessly drive it forward. #BetterNeverSettles
Data Scientist
Location
United States
Posted
3 days ago
Salary
$72.2K - $84.9K / year
Bachelor DegreeEnglishAzureCloudPythonSQL
Job Description
• Partner with business leadership to identify impactful areas for the application of AI and ML.
• Lead Data science and Data driven Analytics engagements across clients covering various sectors.
• Design and optimize ML models for predictive analytics and prescriptive analytics enabled solutions
• Explore cutting-edge techniques in AI and ML to enhance model performance.
• Maintain generative AI models along with development and updating of code and process documentation
• Partner with data stewards to improve data availability and quality while ensuring compliance
• Partner with technology teams to deploy AI and ML solutions in scalable environments.
• Use business intelligence tools for better visualization and transparency of data driven insights
• Managing a team of data engineers, data scientists, and analytics professionals to deliver data-driven insights and solutions to support business decision-making.
• Track latest AI innovations and build relevant PoCs to further our capabilities
• Participate in organization building, hiring, partnerships, conferences etc.
Job Requirements
- Experience in Databricks
- Advanced statistics & machine learning (e.g., causal inference, experimentation, forecasting, NLP, recommender systems, or deep learning—depending on the company)
- Strong programming skills Python or R (production-quality code)
- SQL mastery (complex queries, performance tuning)
- Experience deploying models to production
- Model lifecycle, monitoring, retraining, data drift
- Solid data engineering awareness
- Data pipelines, feature stores, cloud platforms (Azure/ML flow)
- Hands-on experience with machine learning pipelines or integrating data engineering with advanced analytics and AI workflows.
- Familiarity with data governance frameworks, including data lineage, cataloging, and compliance (e.g., GDPR, HIPAA).
- Background in delivering data-driven solutions for commercial real estate applications
- Degree in IT, Engineering, computer sciences, business IT degree or in any quantitative discipline
Benefits
- health insurance
- vision insurance
- dental insurance
- flexible spending accounts
- health savings accounts
- retirement savings plans
- life insurance programs
- disability insurance programs
- paid time off
- unpaid time away from work
