Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessStrong global brand, metro Mumbai location, mid-level generalist Data Scientist role with broad ML and cloud requirements.
Core ML and data skills are transferable, but commercial real estate and workplace-analytics experience increases fit specificity.
Explicit 2+ years plus required ML, Azure, MLops, NLP, and big-data tooling impose strict technical filters.
Job Description
Structured overview of role & requirementsAbout This Role
Build, validate, and deploy machine learning models using Python to forecast space utilization and optimize portfolio performance.
Collaborate with workplace strategy, client services, and business development teams to align predictive models with client objectives.
Design, deploy, and manage machine learning models on Azure cloud platform ensuring scalability, monitoring, and performance tuning.
Minimum Requirements
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related quantitative field.
2+ years of experience in a data science role focused on commercial real estate, workplace analytics, or human experience measurement.
Proficiency in SQL, Python, Machine Learning (supervised and unsupervised), ML Ops practices, and experience with big data tools like Spark, Databricks.
Location requirement: On-site in Mumbai, Maharashtra, India.
Ideal Candidate Profile
Experienced in applying machine learning to real estate and workplace analytics data for strategic insights and business impact.
Skilled in cloud integration and managing ML deployments on Azure for scalable solutions.
Able to translate complex model outputs into actionable recommendations for diverse internal teams and senior leadership.