Data Scientist

About This Role

Developing and deploying machine learning and deep learning solutions that support business goals is the core of this role. It spans the full model lifecycle, from data exploration and feature engineering through development, deployment, and monitoring, and suits a traditional Data Scientist.

Responsibilities

• Build end-to-end data science pipelines, including data preparation, model development, deployment, and monitoring
• Develop data models, along with deep learning and transformer-based models
• Write and maintain production-quality Python and SQL for day-to-day queries and data analysis
• Process large datasets with PySpark and build deep learning solutions using PyTorch
• Use GCP and BigQuery to develop and deploy cloud-based data and ML solutions
• Collaborate with engineering and business teams to turn requirements into reliable models and actionable insights

Requirements

• Strong, hands-on Python and SQL skills
• Experience developing and deploying machine learning and deep learning models in production
• Experience with PyTorch, PySpark, and deep learning techniques
• Knowledge of Data Modeling, Propensity Modeling, and Transformers
• Experience with end-to-end ML pipelines and cloud technologies
• Familiarity with GCP and BigQuery

Benefits

• Option to elect healthcare insurance (Dental, Medical, Vision)
• Major holidays
• Paid sick leave as per state law

Important Details

• Duration: Long Term
• Work format: Hybrid/Onsite

About the Company

Danta Technologies offers a compensation package to all W2 employees that are competitive in the industry.