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.
How to Apply:
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
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- Fill the details with the information provided.
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