Role overview

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
3+ years of experience in machine learning, including data preprocessing, feature engineering, and model development.
Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.
Hands-on experience with Google Cloud Platform (GCP), particularly Vertex AI, BigQuery, and Cloud Storage.

Responsibilities

Perform data cleaning, preprocessing, and feature engineering to prepare traffic congestion datasets for predictive modeling.
Train, validate, and evaluate machine learning models to forecast traffic volumes based on historical trends and key features.
Deploy machine learning models to Google Vertex AI to enable efficient and scalable prediction services.
Collaborate with cross-functional teams, including cloud engineers, data engineers, and integration specialists, to integrate ML solutions into the BWT system.

Key facts

Remote from: Anywhere
Fixed term
Mid-level (2-5 years)
Data Scientist
English

Hard skills

Machine Learning Python (Programming Language) Data Preprocessing Feature Engineering Statistical Modeling Predictive Analytics TensorFlow PyTorch (Machine Learning Library) Scikit-Learn (Python Package) Google Cloud Platform (GCP) BigQuery Cloud Storage Traffic Reporting Data Integration Kubernetes Information Privacy

Other skills

Collaboration
Decision Making

About the company

COMERIT

Digital Transformation Consulting

Comerit: Your Data Transformation Partner 🌐At Comerit, data isn't just information – it's potential waiting to be unleashed. As a prominent data transformation and advanced analytics consulting firm headquartered in Folsom, California, we thrive on converting data into actionable insights that drive informed decisions. With a legacy of 25 years of SAP expertise, we understand the intricacies of data and its pivotal role in business success. Our mission is to empower enterprises by providing continuous data insights for superior outcomes.Our comprehensive range of services is designed to cater to your diverse needs:Intelligent Analytics: Transform data into wisdom. Our Intelligent Analytics service empowers you with deeper insights, facilitating informed decisions that steer your business towards excellence.Data Enablement: Your data holds immense potential. We specialize in harnessing this potential, enabling your business to grow, adapt, and prosper.SAP Enterprise Transformation: Unlock SAP's true potential with us. Our SAP S/4HANA Cloud innovation propels your business forward, optimizing operations and enhancing efficiency.Innovative Cloud Technologies: Stay ahead of the curve with our pioneering cloud solutions. Our cutting-edge cloud data warehousing solutions ensure scalability and competitive advantage.With Comerit, you gain more than just a service provider – you gain a partner dedicated to your success. Our cross-discipline teams ensure breakthroughs through data-driven strategies and advanced technology solutions. We integrate your corporate goals with best-in-class capabilities, driving business and technology advancement hand in hand.Empower your business with Comerit. Unlock the true value of your data, leverage 24/7 support, and transform your vision into reality. From insights to action, we're here to make your data work for you. Explore the possibilities – let's connect. 🤝

Company details

Company typeSME

IndustryDigital Transformation Consulting

Company size51 - 200

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

This is a remote position.

Comerit is looking for an experienced and driven Google AI/ML Data Scientist to join our team and play a key role in the Border Wait Time (BWT) project. In this position, you will prepare and process complex traffic congestion datasets, develop machine learning models to predict traffic volumes, and deploy scalable solutions using Google Vertex AI. Your work will help improve real-time decision-making, enhance border efficiency, and optimize travel experiences for millions of users.

Requirements

Key Responsibilities

Perform data cleaning, preprocessing, and feature engineering to prepare traffic congestion datasets for predictive modeling.
Train, validate, and evaluate machine learning models to forecast traffic volumes based on historical trends and key features.
Deploy machine learning models to Google Vertex AI to enable efficient and scalable prediction services.
Monitor and validate model performance using test data, ensuring high accuracy and reliability.
Refine models and methodologies based on performance metrics and stakeholder feedback.
Collaborate with cross-functional teams, including cloud engineers, data engineers, and integration specialists, to integrate ML solutions into the BWT system.
Stay updated with the latest advancements in AI/ML and incorporate best practices into project workflows.

Qualifications

Required:

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
3+ years of experience in machine learning, including data preprocessing, feature engineering, and model development.
Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.
Hands-on experience with Google Cloud Platform (GCP), particularly Vertex AI, BigQuery, and Cloud Storage.
Strong understanding of statistical modeling, time series analysis, and predictive analytics.
Familiarity with version control tools (e.g., Git) and collaborative coding practices.

Preferred:

Experience working with traffic or congestion datasets.
Expertise in real-time data integration and analytics.
Knowledge of containerization tools (e.g., Docker, Kubernetes) for deploying ML models.
Understanding of data privacy and compliance considerations in cloud-based ML projects.