SparkCognition · 1 week ago

Senior Data Scientist

Austin, TX

Full-time

Onsite

Senior Level

5+ years exp

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AnalyticsArtificial Intelligence (AI)

Insider Connection @SparkCognition

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Responsibilities

Building models to solve specific problems

Processing, cleansing, and verifying the integrity of data used for analysis

Feature engineering using various techniques for the enhancement of data

Performing feature selection on original and generated data

Using machine learning tools to develop and train models

Performing efficacy testing of the models

Building automated tools that enable the data scientist to more effectively perform tasks such as data cleaning, feature generation, feature selection, or model building

Performing ad-hoc analysis and presenting results in a clear manner

Working with a team to help solve new, never-before-solved challenges across multiple industries

Presenting concepts and findings to non-technical audiences, such as company leadership or our customers

Qualification

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Machine LearningPython ProgrammingNumPyPandasScikit-LearnNLTKSpaCyPyTorchSQLStatisticsGraph DatabasesVector DatabasesNLP MethodsLarge Language ModelsRAGFine-TuningDomain-AdaptationDocument ParsingOptical Character RecognitionTesseractData WranglingFeature EngineeringModel BuildingModel EvaluationData VisualizationAdvanced NLPArangoDBElasticGraduate DegreeComputer Science

Required

US Citizenship

Understanding and experience using machine learning techniques and algorithms, including but not limited to: transformers, clustering, tree-based methods, neural networks, anomaly detection and more

Hands-on experience with data wrangling, feature engineering, model building, evaluation, and visualization.

Fluency in Python programming and related machine learning tools (such as NumPy, Pandas, scikit-learn, NLTK, and SpaCy), deep learning frameworks (such as PyTorch), and SQL-like query languages

Good applied statistics skills, such as distributions, statistical testing, etc.

Experience with both graph and vector databases. ArangoDB and Elastic or similar

Familiarity with advanced NLP methods, such as large language models (LLMs), retrieval augmented generation (RAG), fine-tuning or domain-adaptation of NLP models using pre-trained LLMs (such as Hugging Face).

Familiarity with document parsing techniques and optical character recognition tools (Tesseract).

Graduate degree (or equivalent industry experience), in Computer Science, Statistics, Physics, Mathematics, Neuroscience, Linguistics, Electrical Engineering, Economics, or a related scientific discipline