Senior Data Scientist

Role: Sr Data Science

Location: Remote

Duration: Longterm

Job Description

Minimum Qualifications:

Work or educational background in one or more of the following areas: machine learning, computational linguistics, deep learning, ratification intelligence, data science and/or data analytics. operations research, computer science, Mathematics, business analytics, or knowledge management.

Demonstrated experience programming with R/Python, Linux, and Spark in AWS cloud environment, or knowledge and algorithmic design experience in Python (3+ years)

Proficient with Amazon AWS Sagemaker, Jupyter Notebook and Python Scikit, Deep Learning, Machine Learning tools such as TensorFlow

Demonstrated experience with machine learning techniques including natural language processing, and Large language Models (GPTv4 Turbo, OpenAI APIs, Llama, Claude, etc).

Profficient in Natural language processing (NLP) and Natural language generation (NLG) including prior projects in any of the following categories: top modeling of text, sentiment analysis of text, part of speech tagging, Name Entity Recognition (NER), Bag of Words, text extraction

Experience building and working with any of these components: Vector DB, BERT, RoBERTa (or comparable tools), Spacy, LLM and GenAI tools. Experience with LoRA, LangChain, RAG, LLM Fine Tuning and PEFT, Knowledge Graphs.

Demonstrated experience with SQL and any relational database technologies, such as Oracle, PostgreSQL, MySQL, RDS, Redshift, Hadoop EMR, Hive, etc.

Demonstrated experience processing structured and unstructured data sources, data cleansing, data normalization and prep for analysis

Demonstrated experience with code repositories and build/deployment pipelines, specifically Jenkins and/or Git/GitHub/GitLab.

Demonstrated experience using Tableau, Kibana, Quicksights or other similar data visualizations tools.

Very comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals)

Qualifications & Requirements

· Education: MS in Computer Science, Statistics, Math, Engineering, or related field, PhD preferred