Data Scientist

Machine Learning Technologies, LLC; Lansing (MI); On-site; USD 120,000 - 190,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Data Scientist to own our ML-based sales forecasting end-to-end. You will design, build, and productionize forecasting models using BigQuery and Vertex AI on Google Cloud, enabling data-driven planning and revenue decisions across the business.

You will engineer features in BigQuery, train and deploy models with Vertex AI pipelines, and implement monitoring and retraining triggers to ensure forecast reliability.

Qualifications

• 8+ years of experience shipping models to production.
• Strong experience with time series and/or demand forecasting methods.
• Proficiency in Python (pandas, scikit-learn, and a forecasting or deep learning library such as statsmodels, Prophet, XGBoost, or TensorFlow/PyTorch).
• Advanced SQL and real experience working in BigQuery at scale.
• Experience with BigQuery ML (BQML) for in-warehouse model training.
• Hands-on experience with Vertex AI (custom training, pipelines, model registry, endpoints, or batch prediction) or comparable cloud ML platforms.
• MLOps experience: CI/CD for models, Vertex AI Pipelines, experiment tracking, automated retraining.
• Solid grounding in model evaluation, validation, and the statistics behind forecasting.
• Ability to explain technical trade-offs and results to business stakeholders.

Responsibilities

• Build, validate, and deploy ML-based sales forecasting models for short- and long-horizon predictions.
• Prepare training data in BigQuery with SQL transformations.
• Train, tune, and deploy models on Vertex AI with pipelines and endpoints.
• Stand up model monitoring and retraining triggers to keep forecasts reliable.
• Collaborate with Sales, Finance, and Operations to translate questions into forecasts.
• Establish forecast accuracy benchmarks (MAPE, WAPE, bias) and improve them.
• Contribute to data quality, documentation, and MLOps practices.

Skills

Time series forecasting

BigQuery

Vertex AI

Python

SQL

Data analysis

MLOps

Stakeholder communication

Tools

BigQuery

Vertex AI

Python

SQL

scikit-learn

TensorFlow/PyTorch

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

We're looking for a Data Scientist to own our machine learning sales forecasting capability end to end. You'll design, build, and productionize forecasting models that drive planning, inventory,and revenue decisions across the business. Our data lives in BigQuery and our models are trained, served, and monitored on Vertex AI — so you'll be working with a modern, fully managed Google Cloud stack from day one.

What you'll do:

• Build, validate, and deploy ML-based sales forecasting models (time series, regression, and hierarchical/demand forecasting approaches) that produce accurate short- and long-horizon predictions.
• Engineer features and prepare training data directly in BigQuery, including building reusable, well-documented SQL/transformation layers.
• Train, tune, and deploy models on Vertex AI — using custom training jobs, Vertex AI Pipelines for repeatable workflows, and endpoints (or batch prediction) for serving.
• Stand up model monitoring, retraining triggers, and drift/accuracy tracking so forecasts stay reliable in production.
• Partner with Sales, Finance, and Operations stakeholders to translate business questions into forecasting problems and communicate results clearly to non-technical audiences.
• Establish forecast accuracy benchmarks (e.g., MAPE, WAPE, bias) and continuously improve on them.
• Contribute to data quality, documentation, and MLOps best practices across the team.

What we're looking for:

• 8+ years of experience as a Data Scientist or ML Engineer, with hands-on work shipping models to production.
• Strong experience with time series and/or demand forecasting methods.
• Proficiency in Python (pandas, scikit-learn, and a forecasting or deep learning library such as statsmodels, Prophet, XGBoost, or TensorFlow/PyTorch).
• Advanced SQL and real experience working in BigQuery at scale.
• Experience with BigQuery ML (BQML) for in-warehouse model training.
• Hands-on experience with Vertex AI (custom training, pipelines, model registry, endpoints, or batch prediction) or comparable cloud ML platforms with a clear willingness to work in Vertex.
• MLOps experience: CI/CD for models, Vertex AI Pipelines, experiment tracking, automated retraining.
• Solid grounding in model evaluation, validation, and the statistics behind forecasting.
• Ability to explain technical trade-offs and results to business stakeholders.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.