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 and ML solutions using GC
P. Collect and process structured and unstructured data from multiple internal and external sources to support model developmen
t. Perform exploratory data analysis (EDA) to uncover trends, anomalies, and root causes behind business outcome
s. Develop and deploy advanced analytics models (ML/AI) using GCP services (BigQuery ML, Vertex AI, Dataflow, etc.
). Build and automate end-to-end data pipelines for analytics and machine learning using GCP services like{{{{:}}}} BigQuery, Dataflow, Dataproc, Vertex AI, Cloud Functions, Pub/Sub, Cloud Composer (Air
flow) Partner with software engineering teams to implement real-time data pipelines and APIs for model integra
tion. Drive scalable and reproducible experimentation, validation, and deployment of ML mo
dels. Leverage tools like Python, SQL, and GCP-native tools for data wrangling, modeling, and deploy
ment. Build dashboards and visualizations to present actionable insights to business stakehol
ders. Contribute to the development and implementation of data governance and MLOps best pra

cticesRequir

ementsUniversity degree or equivalent in data analytics, statistics, math, or computer science, with a minimum of 5 years relevant expe
rience Google Cloud Professional Data Engineer or Professional Machine Learning Engineer certifi
cationMinimum of 3 years of hands-on Snowflake Practitioner experience in a Data Engineerin
g roleMust be Snowflake Certified or should have experience in Snowflake. The SnowPro® Advanced{{{{:}}}} Data Scientist Certification is
preferredExperience with Azure, Databricks and AWS
ServicesExcellent knowledge of Python, Matillion and SQL, Pandas
, ML, LLMExperience on Azure ML Studio is
PreferredGood to have experience in Airflow and Matilli
on StudioGood experience with Anomaly algorithms is
an assetExperience in big data processing and the development of Python and SQL for large amount
s of dataConsiderable experience with unit and integratio
n testingExcellent analytical, storytelling, and problem-solvi
ng skillsAbility to translate/communicate analytics recommendations to both technical and nontechnical tea
m membersStrong understanding of quantitative (univariate and multivariate) analysis t
echniquesExperience with predictive modelling and machine
learningStrong experience with statistical analytical techniques, data mining, machine learning, and predictive models using Python, R , PySpark, Matillion, PyTorch, Numpy, Scikit-learn or simi
lar toolsExperience using scripting language for collecting, organizing and manipula
ting dataAbility to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry pe