Data Scientist

Data Scientist As a data scientist at HDB, you will workwith us to solve challenging business problems and develop effective data-basedsolutions that enable us to deliver quality and affordable housing. Our data science team prides itself at problem-solving atthe highest level and partnering with our business groups to deliver highquality data solutions that hit the mark for our business groups. About Us The HDB AIand Data Department (AIDA) sets the standards of excellence for artificial intelligenceat the agency. Our team comprises of seasoned data science practitioners taskedwith solving the most challenging business problems of the agency. By joiningus, you will be part of a dynamic team that's always learning and alwayschallenging ourselves to do our best for the public good. What You Will Do • Serve as a core contributing member of challenging andstrategic data science projects undertaken by AIDA. You will engage in highimpact problem-solving exercises, assist in the selection and implementation ofalgorithms, support project management efforts, fand be responsible for thecorrectness, efficiency, and integrity of your team's solutions. • Contribute to the team’s technical workflow, processes,and methods. You will be responsible for organizing your team’s efforts,uplifting overall practices where possible, and reviewing the work of yourpeers to ensure high standards and conformity to best practice. • Engage key stakeholders from IT and business units toco-create high-impact and high value solutions for HDB. This involves frequentengagement and building of effective partnerships with technical units likesystem project leaders and data engineers, and our business units. • Stay at the cuttingedge of data science innovations by actively surveying the DSAI landscape andconsistently uplifting your technical proficiency. Pre-Requisites for the Role • 3+ years of active data science work with a reputableemployer. • Bachelor's or Master's degree in Computer Science, DataScience, Statistics, Mathematics, Engineering, or a related quantitativediscipline. • High proficiency in problem-solving for data science(e.g., with suitable frameworks like MECE, root cause analysis, etc.). • Familiarity in MLOps as a framework, with strongexperience of end-to-end model development and deployment in the cloud (e.g.,AWS). • Seasoned in the theory and execution of deep learningalgorithms and architectures (e.g., transformer models, reinforcementlearning), AI Engineering (e.g., neural embeddings, LLM models, building ofGenAI systems with frameworks like LangChain and LangGraph, vector databases,EDD, etc.), optimization, statistical modelling, and multi-criteria decisionanalysis. • Experience with data engineering for data science (e.g.,ELT concepts, structured table transformation experience, databasetechnologies, etc) • Strong team player• Superb communication and visualization abilities. • Strong programmingand development skills in Python (and accompanying frameworks), R, SQL, Shellscripting