Data Scientist: ML, NLP & Production Models

Quantum Technologies. LLC; San Francisco (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

Quantum Technologies. LLC is seeking a skilled Data Scientist to develop advanced analytical models, machine learning solutions, and predictive algorithms to solve complex business problems.

The ideal candidate should have strong expertise in Python, machine learning, statistical analysis, NLP, and model deployment. The role involves developing and implementing ML models for predictive analytics, exploring data patterns, building various models, and deploying them into production with close

Qualifications

• Strong programming experience in Python.
• Experience with ML algorithms and model development.
• Experience with NLP and text analytics.
• Experience deploying models to production environments.
• Experience with distributed computing and large datasets.

Responsibilities

• Develop and implement ML models for predictive analytics.
• Perform exploratory data analysis and identify patterns in complex datasets.
• Build classification, regression, and clustering models.
• Develop NLP solutions for text processing and sentiment analysis.
• Apply statistical techniques to support data-driven decision-making.
• Perform feature engineering, model selection, and hyperparameter tuning.
• Develop model evaluation frameworks to measure accuracy and performance.
• Work with large datasets using Python and distributed computing tools.
• Deploy machine learning models into production environments.
• Collaborate with data engineers, product teams, and business stakeholders.
• Monitor model performance and implement improvements.
• Present analytical findings and technical recommendations.

Skills

Python

Machine learning

Statistical analysis

NLP

Data analysis

Distributed computing

Model deployment

Tools

Flask

FastAPI

Git

Docker

SQL

Pandas

NumPy

SciPy

MLflow

AWS SageMaker

Job description

Quantum Technologies. LLC is seeking a skilled Data Scientist to develop advanced analytical models, machine learning solutions, and predictive algorithms to solve complex business problems.

The ideal candidate should have strong expertise in Python, machine learning, statistical analysis, NLP, and model deployment. The role involves developing and implementing ML models for predictive analytics, exploring data patterns, building various models, and deploying them into production with close