Data Scientist
- Strong background in working with text data using natural language processing (NLP) including classification modeling, unsupervised modeling techniques such as clustering and topic modeling.
- Should have a background in working with transformer models.
- Strong Python coding skills are a must.
- Should have strong SQL skills, data mining, analytics, wrangling and data cleaning skills and strong feature engineering and entity/parts of speech tagging.
- Should have a strong understanding of word embeddings and finding like patterns in text with cosine similarity.
- Background in ElasticSearch or building semantic search solutions a plus
- Qualified individuals should have a keen interest in combining data science skills to engineer automation solutions, help drive decisions, and are passionate about breaking down complex business problems and providing well-design data science solutions that makes a significant impact.
- 2 - 4 years of professional experience in NLP programming
- Experience with finetuning Large Language Models (LLMs) or writing language models from scratch.
- Demonstrated background in NLP and machine learning.
- Preference for degrees in computer science, information retrieval, statistics, applied math, or other quantitative field
- Demonstrated track record of publication in peer reviewed journals and conferences
- Track-record of having developed Client algorithms
- Experience in deep learning - phonetics (valued)
- Word/paragraph embedding’s, structured prediction, sentiment analysis, disambiguation
- Ability to consistently deliver results across shifting priorities and deadlines in fast paced environment
- Ability to work with a ‘sense of urgency’ in order to meet critical deadlines
- Advanced degree in Data Science with a focus in NLP valued
- Experience with BERT family of models, open source foundational LLMs such as LLAMA, Falcon or Mistral.
- Ability to indirectly manage peer level associates who are part of problem-solving teams
- Background in teaching NLP algorithms to beginners and advanced Data Scientists
- Experience with large scale data analysis tools such as Spark, Hadoop
- Background in machine learning techniques
- NLP programming in R and or Python / Anaconda
- Background with moving large data sets across Hadoop, SQL, ORACLE
- Solid background in statistical learning techniques for NLP (HMMs, CRFs, SVMs, LDA, LSI, MRFs)
- Must have Client/NLP algorithm implementation experience as well as the ability to create / modify standard algorithms (e.g. change objectives, work-out the math and implement)
- NLP programming in R and or Python / Anaconda
- Background with moving large data sets across Hadoop, SQL, ORACLE
- Solid background in statistical learning techniques for NLP (HMMs, CRFs, SVMs, LDA, LSI, MRFs)
- Must have Client/NLP algorithm implementation experience as well as the ability to create / modify standard algorithms (e.g. change objectives, work-out the math and implement)
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Seniority level
Entry level -
Employment type
Contract -
Job function
Information Technology -
Industries
Banking and Financial Services
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