The Data Scientist Associate will play a key role in fulfilling Machine Learning (ML) and advanced analytics initiatives. This will include building supervised and unsupervised ML models. With a strong business orientation and track record of delivering data-analytic services. The Data Scientist v Associate will both work closely to implement machine learning-based, scalable solutions to drive growth and efficiency. They will work closely with different teams within the RBGlobal ecosystem to integrate these into enterprise-scale services. Not all projects or solutions will involve ML. Some projects will require the ability to leverage advanced statistical modeling and data best practices to tackle business problems.

• -3 year’s experience working in a directly comparable role responsible for cloud data warehouse and/or data lake development
• 1-3 year’s experience with Google Cloud Platform (BigQuery, GCS, Cloud Functions, Cloud Dataflow, Pub/Sub, Cloud Shell, GSUTIL, BQ command line utilities, DataProc, Cloud Operations)
• 1-3 year’s experience with other cloud data technologies such as AWS (S3, Glue, Lambda, Lake Formation, CloudFormation, Athena, Redshift)
• 1-3 years working directly with relational databases with strong SQL programming skills; experience with SQL Server (DBMS, SSAS Tabular Model, SSRS), including MDX and DAX
• 1-3 years experience designing, building, and optimizing ‘big data’ pipelines, architectures and data sets
• 1-3 years experience with modern programming languages (Python, PySpark, Java, etc.)
• Experience with big data solutions (Kafka, Hadoop, Spark, etc.), including data stream processing
• Experience designing a new data solution or new subject area
• Understanding of dimensional modeling, star schemas, and associated Kimball methodology
• Experience with data lakehouse and/or data mesh architectures a bonus
• Excellent verbal and written skills in English
• Exceptional attention to detail
• Experience working on an Agile development team
• Strong analytical, troubleshooting and problem-solving skills
• A proven ability to effectively prioritize and execute tasks in a high-pressure environment
• Typical Business office Environment
• Semiannual short trips travel requirements.

• Experiment and model design.
• Model development and evaluation.
• Meeting with and reporting to stakeholders.
• Solving operational challenges with business units which are depended upon.
• Sourcing, cleaning and understanding data.
• Lead some projects while assisting senior data scientists on more advanced ML initiatives. Perform data validation and quality assurance
• Perform other duties as assigned

Ritchie Bros. is an equal opportunity employer and ensures nondiscrimination in all activities in accordance with all applicable laws. This position is open to all qualified applicants who are legally entitled to work in the country in which this job is located. Candidate selection is made by Talent Acquisition. Only electronic applications can be accepted.