Job Description

:

- As a Data Scientist with the Chief Data Office, you will shape the future of the Chief Administrative Office and its businesses by applying world-class machine learning expertise. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Finance, Supplier Services, Data Security intelligence program, Global Real Estate and Customer Experience. You will use data and analysis to identify and solve our divisions biggest challenges and develop state-of-the art machine learning models to solve real-world problems.

- We have evolved from our 'startup' roots to become a credible strategic partner trusted by division wide leadership and are expanding now. By joining Chief Data Office (CAO), you will become part of a world-class Data science community dedicated to problem solving and career growth in ML/AI discipline and beyond.

A successful candidate will meet the following requirements :

- Coder Product Owner: Develop codes and own ML products to drive business outcomes and influence your strategic partners, in a highly collaborative environment

- Research & Learning: The candidate must also have a strong passion for machine learning and invest independent time towards research and experiment

- Problem-Solving: We want a strategic thinker with demonstrated problem-solving skills using Machine Learning

Technical Skills :

- Master's in quantitative field (Computer Science, Mathematics, Statistics, or ML)

- 8-12 years industry experience in data science coding / applied ML model development (must have)

- Strong knowledge and experience with Traditional ML, Deep Learning, NLP, time-series predictions, or recommendation systems (must have)

- Excellent python coding and algorithm skills (must have)

- Experience with data visualization techniques and software

- Foundational Statistics knowledge

Bonus Skills :

- Experience driving AI adoption

- Experience with Data Querying (e.g., SQL, big data), A/B Testing

- Experience with Cloud based deployment (e.g., aws, azure), Engineering background

- Experience with python frameworks (e.g., pyspark, django, Flask, Bottle)

- Experience in financial markets or services firm