Top Benefits
About the role
Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics has transformed into a world-class transport provider and continue to grow.
Charger logistics invests time and support into its employees to provide them with the room to learn and grow their expertise and work their way up. We are entrepreneurial-minded organization that welcomes and support individual idea and strategies.
Responsibilities:
- Understand business processes and translate analytical needs into scalable data science and ML solutions using cloud technologies.
- Collect and process structured and unstructured data from multiple internal and external sources to support model development and analytics initiatives.
- Perform exploratory data analysis (EDA) to uncover trends, anomalies, and root causes behind business outcomes.
- Develop and deploy machine learning models using modern cloud services (e.g., Vertex AI, BigQuery ML, Dataflow) and open-source frameworks.
- Build and automate end-to-end data pipelines for analytics and machine learning using tools such as: BigQuery, Dataflow, Dataproc, RisingWave, Vertex AI, Cloud Functions, Pub/Sub, and Cloud Composer (Airflow).
- Collaborate with engineering teams to implement real-time data pipelines and APIs for integrating ML models into production systems.
- Drive scalable, reproducible experimentation, model validation, and deployment of ML solutions.
- Leverage strong Python and SQL skills, including advanced techniques such as CTEs and window functions, for data wrangling, modeling, and analysis.
- Build dashboards and visualizations to present actionable insights to business stakeholders.
- Contribute to the development and implementation of data governance, MLOps, and model monitoring best practices.
Requirements
- University degree or equivalent in data analytics, statistics, math, or computer science, with a minimum of 5 years relevant experience.
- Strong expertise in SQL (including CTEs, window functions, query optimization) and Python for data science and analytics workflows.
- Experience working with RisingWave or similar streaming SQL/data platforms is preferred.
- Google Cloud Professional Data Engineer or Machine Learning Engineer certification is a strong asset.
- Minimum of 3 years of hands-on Snowflake experience; SnowPro® Advanced: Data Scientist Certification is preferred.
- Experience with Azure, AWS, and Databricks platforms.
- Experience with ETL tools like Matillion and orchestration tools such as Airflow or Cloud Composer is an asset.
- Strong knowledge of Python libraries such as Pandas, NumPy, Scikit-learn, and PyTorch for machine learning and statistical analysis.
- Experience with Azure ML Studio is considered an asset.
- Practical experience with anomaly detection algorithms and unstructured data is a plus.
- Solid understanding of data testing practices, including unit and integration testing.
- Excellent communication skills to translate analytical findings into actionable business insights for both technical and non-technical audiences.
- Ability to work in ambiguous environments, apply creative problem-solving, and deliver data solutions aligned with business objectives.
Benefits
- Health Benefits
- Career Growth
- High Competitive Salary
About Charger Logistics Inc
Charger Logistics' strives to offer the best client focused logistics solution. We start with flexibility. By offering various safe and efficient solutions for all product sizes, weights and sensitivities our limits are minimal. Additionally, our network, various locations throughout North America and fleet size allow us to offer our clients what they need every time.
Charger Logistics was founded in the early 2000's and has grown by leaps and bounds since then. From owning a single truck to owning a fleet of over eight-hundred trucks, two-thousand trailers including reefers, dry vans, chassis, flat beds, step decks and more! A lot has changed however, our commitment to our clients will never change.
Top Benefits
About the role
Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics has transformed into a world-class transport provider and continue to grow.
Charger logistics invests time and support into its employees to provide them with the room to learn and grow their expertise and work their way up. We are entrepreneurial-minded organization that welcomes and support individual idea and strategies.
Responsibilities:
- Understand business processes and translate analytical needs into scalable data science and ML solutions using cloud technologies.
- Collect and process structured and unstructured data from multiple internal and external sources to support model development and analytics initiatives.
- Perform exploratory data analysis (EDA) to uncover trends, anomalies, and root causes behind business outcomes.
- Develop and deploy machine learning models using modern cloud services (e.g., Vertex AI, BigQuery ML, Dataflow) and open-source frameworks.
- Build and automate end-to-end data pipelines for analytics and machine learning using tools such as: BigQuery, Dataflow, Dataproc, RisingWave, Vertex AI, Cloud Functions, Pub/Sub, and Cloud Composer (Airflow).
- Collaborate with engineering teams to implement real-time data pipelines and APIs for integrating ML models into production systems.
- Drive scalable, reproducible experimentation, model validation, and deployment of ML solutions.
- Leverage strong Python and SQL skills, including advanced techniques such as CTEs and window functions, for data wrangling, modeling, and analysis.
- Build dashboards and visualizations to present actionable insights to business stakeholders.
- Contribute to the development and implementation of data governance, MLOps, and model monitoring best practices.
Requirements
- University degree or equivalent in data analytics, statistics, math, or computer science, with a minimum of 5 years relevant experience.
- Strong expertise in SQL (including CTEs, window functions, query optimization) and Python for data science and analytics workflows.
- Experience working with RisingWave or similar streaming SQL/data platforms is preferred.
- Google Cloud Professional Data Engineer or Machine Learning Engineer certification is a strong asset.
- Minimum of 3 years of hands-on Snowflake experience; SnowPro® Advanced: Data Scientist Certification is preferred.
- Experience with Azure, AWS, and Databricks platforms.
- Experience with ETL tools like Matillion and orchestration tools such as Airflow or Cloud Composer is an asset.
- Strong knowledge of Python libraries such as Pandas, NumPy, Scikit-learn, and PyTorch for machine learning and statistical analysis.
- Experience with Azure ML Studio is considered an asset.
- Practical experience with anomaly detection algorithms and unstructured data is a plus.
- Solid understanding of data testing practices, including unit and integration testing.
- Excellent communication skills to translate analytical findings into actionable business insights for both technical and non-technical audiences.
- Ability to work in ambiguous environments, apply creative problem-solving, and deliver data solutions aligned with business objectives.
Benefits
- Health Benefits
- Career Growth
- High Competitive Salary
About Charger Logistics Inc
Charger Logistics' strives to offer the best client focused logistics solution. We start with flexibility. By offering various safe and efficient solutions for all product sizes, weights and sensitivities our limits are minimal. Additionally, our network, various locations throughout North America and fleet size allow us to offer our clients what they need every time.
Charger Logistics was founded in the early 2000's and has grown by leaps and bounds since then. From owning a single truck to owning a fleet of over eight-hundred trucks, two-thousand trailers including reefers, dry vans, chassis, flat beds, step decks and more! A lot has changed however, our commitment to our clients will never change.