Analyst-Data Science (GSG Advanced Analytics) Job in Gurgaon at American Express

American Express is hiring for the role of Analyst - Data Science (GSG Advanced Analytic)!

Responsibilities of the Candidate:

• Understand the overall business perspective and help conceptualize the business problem into a Data Science/ML roadmap
• Have a research bend of mind and read/engage/apply new techniques and algorithms in the field to generate efficiencies/process improvements.
• Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business.
• Capability of writing, debugging and compiling codes in multiple Machine Learning environment and understanding of Python stack is necessary
• Research focus on problem solving through NLP(Natural Language Processing) is critical.
• Clear application on performance testing and validation framework of machine learning models
• Understand and deploy mathematical foundations of cutting edge NLP techniques on varied sources of data
• Willingness to derive insights from terabyte sized data and capability to design scalable solutions is paramount

Requirements:

• Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc.
• Ability to work in cross functional teams
• Excellent data wrangling and visualization skills
• Hands on knowledge of SQL is expected
• A research mindset with a zeal to experiment new algorithms is expected 
• Master’s in a quantitative field (e.g., Finance, Engineering, Mathematics, Statistics Computer Science or Economics) from a top institute.
• A set of high impact research papers on applied NLP/ Deep Learning/ GenAI
• Prior experience working with Transformers/LSTMs/CNNs preferred
• Working knowledge of finetuning Large Language Models(LLMs) is a plus
• Deep knowledge of Statistics and Maths and ability to dissect problems from the first principle. Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable
• Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, transformers), Deep learning expertise is preferred and any of Tensorflow/Torch.