Data Scientist: ML, NLP & Production Deployments

Artifintech; San Francisco (CA); On-site; USD 130,000 - 195,000; Full time

Job summary

Artifintech is seeking a skilled Data Scientist to develop advanced analytical models, ML solutions, and predictive algorithms. The ideal candidate will have strong Python expertise, ML and NLP skills, and experience deploying models into production environments.

You will collaborate with data engineers, product teams, and stakeholders to transform data into actionable insights, perform rigorous statistical analyses, and iterate on models to improve performance in production systems.

Qualifications

• Strong programming experience in Python and ML.
• Experience with Pandas, NumPy, SciPy and Scikit-learn.
• Experience with NLP, SQL, and data visualization.
• Deploy ML models to production with Flask or FastAPI.

Responsibilities

• Develop and implement machine learning 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

Pandas

NumPy

SciPy

Scikit-learn

NLP

Statistics

SQL

Data visualization

Model deployment

Git

Docker

Flask/FastAPI

Spark

MLOps

TensorFlow

PyTorch

Tools

TensorFlow

PyTorch

Flask

FastAPI

Job description

Artifintech is seeking a skilled Data Scientist to develop advanced analytical models, ML solutions, and predictive algorithms. The ideal candidate will have strong Python expertise, ML and NLP skills, and experience deploying models into production environments.

You will collaborate with data engineers, product teams, and stakeholders to transform data into actionable insights, perform rigorous statistical analyses, and iterate on models to improve performance in production systems.