Senior Data Scientist: Sales Forecasting on Vertex AI

Artifintech; Lansing (MI); On-site; USD 120,000 - 190,000; Full time

Job summary

Artifintech is seeking a senior Data Scientist to own our ML-driven sales forecasting end to end. You will design, build, and productionize time-series and regression models that guide planning, inventory, and revenue decisions using a modern Google Cloud stack (BigQuery, Vertex AI).

You will engineer features in BigQuery, train and deploy models with Vertex AI Pipelines, monitor performance, and work with Sales, Finance, and Operations to translate business questions into forecasting solutions.

Qualifications

• 8+ years of experience as a Data Scientist or ML Engineer with production models.
• Strong experience with time series and/or demand forecasting.
• Proficiency in Python (pandas, scikit-learn, and forecasting libraries).
• Advanced SQL and BigQuery experience at scale.
• Experience with Vertex AI (training, pipelines, endpoints) or similar platforms.
• MLOps experience: CI/CD for models and experiment tracking.
• Ability to explain technical trade-offs to business stakeholders.

Responsibilities

• Build, validate, and deploy ML-based sales forecasting models (time series, regression, and hierarchical forecasting).
• Engineer features and prepare training data in BigQuery with reusable SQL layers.
• Train, tune, and deploy models on Vertex AI with pipelines and endpoints.
• Stand up model monitoring, retraining triggers, and drift/accuracy tracking.
• Collaborate with Sales, Finance, and Operations to translate questions into forecasts.
• Establish forecast accuracy benchmarks and continuously improve them.
• Contribute to data quality and MLOps best practices.

Skills

Time series forecasting

Forecasting methods

Model evaluation

Communication

Tools

BigQuery

Vertex AI

Python

SQL

Job description

Artifintech is seeking a senior Data Scientist to own our ML-driven sales forecasting end to end. You will design, build, and productionize time-series and regression models that guide planning, inventory, and revenue decisions using a modern Google Cloud stack (BigQuery, Vertex AI).

You will engineer features in BigQuery, train and deploy models with Vertex AI Pipelines, monitor performance, and work with Sales, Finance, and Operations to translate business questions into forecasting solutions.