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 Required Skills : + 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) Experience on modern deep learning approaches to NLP: + 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 Desired Skills: + 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) As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.