Data Scientist

September 27

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Laurel

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Returning time to the world. • Automated Time Entry • Revenue • Artificial Intelligence

51 - 200

Description

• Analyze data and create actionable analytics for customers • Explore and visualize data quality and differences impacting model performance • Build machine learning models with feature engineering and parameter tuning • Apply system-level strategic thinking for machine learning adaptation • Coordinate with teams on data flow and UI/UX decisions • Handle large raw, unstructured, noisy text data • Drive completion of projects updating system design and models • Maintain model training pipelines and monitoring as needed • Define onboarding and training processes for new models

Requirements

• Master’s degree in Data Science or related field • 6 months of post-baccalaureate experience in job offered or related titles • Building machine learning models experience • Handling raw unstructured text data using NumPy, pandas, nltk, and spaCy • Software engineering capability including model deployment and API creation • Experience with Natural Language Processing frameworks • Deep Learning Techniques using Triplet Loss and training Siamese Neural networks • Pytorch framework • AI-related Software Development via deployment technologies including Kubernetes • Full software development life cycle and version control systems Git or GitHub