Data Scientist & Deep Learning Engineer (Churn/Transformers)

Danta Technologies; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare insurance

Major holidays

Paid sick leave

Job summary

Danta Technologies in Atlanta, GA is seeking a Data Scientist / Deep Learning Engineer to build end-to-end data science pipelines and deploy transformer-based models. The role emphasizes production-grade Python/SQL, PyTorch, PySpark, and cloud deployment on GCP/BigQuery, with collaboration across engineering and business teams.

The position is long-term and located in Atlanta, offering work on churn and propensity modeling using advanced DL techniques with cloud-based solutions.

Qualifications

• Strong Python and SQL skills with production experience.
• Experience deploying ML or deep learning models in production.
• Proficiency with PyTorch, PySpark, and deep learning techniques.
• Experience with churn modeling, propensity modeling, and transformers.
• End-to-end ML pipelines and cloud technologies familiarity.
• Familiar with GCP and BigQuery.

Responsibilities

• Build end-to-end data science pipelines from data prep to deployment and monitoring.
• Develop churn and propensity models with deep learning and transformer methods.
• Write production-quality Python and SQL for daily data analysis.
• Process large datasets with PySpark and build DL solutions using PyTorch.
• Leverage GCP and BigQuery to deploy cloud-based ML solutions.
• Collaborate with engineering and business teams to deliver reliable models and insights.

Skills

Python

SQL

Deep learning

Transformer models

Cloud technologies

Churn modeling

Propensity modeling

Tools

PyTorch

PySpark

BigQuery

GCP

Cloud platforms

Job description

Danta Technologies in Atlanta, GA is seeking a Data Scientist / Deep Learning Engineer to build end-to-end data science pipelines and deploy transformer-based models. The role emphasizes production-grade Python/SQL, PyTorch, PySpark, and cloud deployment on GCP/BigQuery, with collaboration across engineering and business teams.

The position is long-term and located in Atlanta, offering work on churn and propensity modeling using advanced DL techniques with cloud-based solutions.