Cushman & Wakefield

Data Scientist

Cushman & Wakefield

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $72,165 - $84,900 per year

About the role

  • 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.

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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningpredictive analyticsprescriptive analyticsPythonRSQLdata engineeringdata pipelinesfeature storesadvanced statistics
Soft Skills
leadershipcollaborationcommunicationteam managementproblem-solvingorganizational skillspartnership buildinginnovation trackingdata-driven decision makingclient engagement