Data Scientist

MACHINE LEARNING TECHNOLOGIES LLC; Lansing (MI); Remote; USD 89,000 - 126,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Lansing, MI (Remote) seeks a seasoned Data Scientist to own our ML-driven sales forecasting from data prep to production. You will design, validate, and deploy forecasting models, leveraging BigQuery and Vertex AI to drive inventory, planning, and revenue decisions.

You will build scalable data pipelines, monitor models, and collaborate with Sales, Finance, and Operations to translate business questions into robust forecasting solutions.

Qualifications

• 8+ years of experience as a Data Scientist or ML Engineer.
• Strong experience with time series and demand forecasting methods.
• Proficiency in Python (pandas, scikit-learn, and forecasting libraries).
• Advanced SQL and real experience in BigQuery at scale.
• Experience with Vertex AI or comparable cloud ML platforms.
• MLOps experience: CI/CD for models and pipelines.
• Ability to explain technical trade-offs and results to business stakeholders.
• Solid grounding in model evaluation and forecasting statistics.

Responsibilities

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

Skills

Time series forecasting

Python

Pandas

scikit-learn

statsmodels

Prophet

XGBoost

TensorFlow

Tools

BigQuery

Vertex AI

BQML

Job description

Job Details

• Job ID: J54094
• Job Title: Data Scientist
• Location: Lansing, MI (Remote)
• Duration: 24 Months + Extension
• Domain Exposure: Pharmaceuticals
• Bill Rate: $78/hour (C2C)
• Job Type: W-2, 1099, C2C
• Client: To Be Discussed Later
• 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.

Equal Opportunity Employer

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.