XOi · 3 days ago

Senior Data Scientist

United States

Full-time

Remote

Senior Level

7+ years exp

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Enterprise SoftwareKnowledge Management

Growth Opportunities

Hiring Manager

Cherice Withers

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Responsibilities

Customer first: Tackling complex data questions and delivering innovative solutions

Full-cycle AI Solution Development: Building end-to-end solutions, including testing and ongoing training of models

Optimized Model Performance: Analysis and Interpretation of model performance

Innovative: Researching and evaluating emerging technologies, implementing ML experiments

Data Analysis and Modeling: Developing and implementing qualitative and quantitative methods for characterizing datasets

Technical: Developing data science solutions using open-source tools, languages, and cloud computing platforms

Qualification

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Data ScienceMachine LearningPythonTensorflowPyTorchNLPOCRComputer VisionLarge Language ModelsGPTTransformer modelsNL SearchInformation RetrievalDeep Learning algorithmsHuggingFaceAWSLambdaEC2S3DynamoDBData StructuresML PipelinesQuery EfficiencyPredictive ModelsML TasksDevOpsMLOpsPredictive ModelingGenerative Machine LearningProject Management

Required

7+ years of hands-on experience in Data Science and Machine Learning

Master’s degree in Computer Science, Statistics, Mathematics or related fields

Strong programming skills using Python and Python-based frameworks (eg, Tensorflow, PyTorch)

Proficient working with large structured and unstructured data sets incorporating NLP and OCR to solve problems. Computer Vision is a bonus.

Practical experience working with Large Language Models and using GPT or other Transformer models for NL Search and information retrieval

Strong understanding of commonly used Machine Learning and Deep Learning algorithms, processes, tools and platforms (eg, HuggingFace)

Proficient using AWS and appropriate services, including but not limited to Lambda, EC2, S3, DynamoDB etc

Proven experience working with complex data structures to drive query efficiency for search and analysis while executing ML tasks

Experienced leveraging modern tools for building predictive models from ground up using ML pipelines at each stage, including data processing, training, inference, deployment and evaluation

Thrive working independently while also collaborating with teams and stakeholders