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
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