Data Scientist

July 31

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Laurel

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AI timekeeping software for legal and professional services

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

51 - 200

Description

• Analyze data and create actionable analytics delivered to customers • Explore and visualize data to understand its quality and identify differences • Build powerful machine learning models • Apply system-level strategic thinking for machine learning adaptations • Coordinate with software engineering, product, and design teams • Handle and format large quantities of raw, unstructured, and noisy text data • Drive project completion for new architecture and model deployment • Maintain updated models and training pipelines

Requirements

• Master’s degree in Data Science or related field plus 6 months of experience • Building machine learning models, including feature engineering, model selection, and parameter tuning • Handling and formatting raw unstructured, and noisy text data using libraries including NumPy, pandas, nltk, and spaCy • Software engineering capability, including model deployment, serving, monitoring, updating, and all associated API creation • Natural Language Processing frameworks to perform tasks including clustering textual data • Deep Learning Techniques using Triplet Loss and training Siamese Neural networks to train classifiers to predict work codes • Pytorch framework • AI-related Software Development via deployment technologies including Kubernetes • Full software development life cycle and version control systems Git or GitHub