Data Scientist

3 weeks ago

Addison, United States Axelon Services Corporation Full time
Job Title: Data Scientist (NLP) (Hybrid/ 3 days onsite)

Location: Addison, TX, or Charlotte, NC

Job Overview:

The Enterprise Complaints Operations and Enablement – Reporting and Analytics AI team designs and develops AI automation machine learning solutions that drive daily business decisions.

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.

Must have a strong background in working with text data using natural language processing (NLP) including classification modeling, unsupervised modeling techniques such as clustering and topic modeling.

Background in working with transformer models.

Strong Python coding skills are a must.

Strong SQL skills, data mining, analytics, wrangling and data cleaning skills and strong feature engineering and entity/parts of speech tagging.

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:

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 in one or more of the following areas: entity/relation extraction, information extraction, summarization, semantics, document classification, ontology, question answering, and knowledge graph

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

Detail oriented with strong investigative and problem–solving skills

Strong communication skills, both verbal and written

Ability to proactively engage in a teamwork culture

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)

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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