Senior Data Scientist, Time-Series Forecasting (GCP)

Machine Learning Technologies, LLC; Nashville (TN); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC in Nashville seeks a Senior Data Scientist to lead cloud-based forecasting initiatives. You will build models using Python/PySpark, deploy on GCP or equivalent, and drive accuracy in demand forecasting within retail/supply chain domains.

Collaboration with data engineering and business teams is essential to scale predictions and detect anomalies. Ideal candidates have 5+ years of hands-on model development, strong SQL, and experience with ARIMA, Prophet,

Qualifications

• 5+ years of experience as a Data Scientist with hands-on model development.
• Strong programming skills in Python, including PySpark and common libraries.
• Experience with GCP or similar cloud platforms.
• Hands-on experience with time-series forecasting, regression models, and ensemble methods.
• Strong SQL experience and comfort with large-scale datasets.
• Ability to diagnose data issues and build automated alerting solutions.

Responsibilities

• Build, train, and deploy time-series forecasting models.
• Operationalize model pipelines on cloud platforms (GCP/AWS/Azure).
• Develop scalable data processing workflows with Python and PySpark.
• Design data anomaly detection systems with automated alerts.
• Evaluate model accuracy and communicate insights to stakeholders.
• Apply domain knowledge in supply chain and demand forecasting.

Skills

Python

PySpark

Time-series forecasting

SQL

GCP

Education

Master's degree in Data Science/CS/Statistics/Mathematics

Tools

BigQuery

Cloud Composer

Dataproc

Cloud Run

Job description

Machine Learning Technologies, LLC in Nashville seeks a Senior Data Scientist to lead cloud-based forecasting initiatives. You will build models using Python/PySpark, deploy on GCP or equivalent, and drive accuracy in demand forecasting within retail/supply chain domains.

Collaboration with data engineering and business teams is essential to scale predictions and detect anomalies. Ideal candidates have 5+ years of hands-on model development, strong SQL, and experience with ARIMA, Prophet,