Jr Data Science Engineer with Python, SQL and Spark Experience to build automated capabilities on data products with one of our insurance clients
4 days ago
Jr Data Science Engineer with Python, SQL and Spark Experience to build automated capabilities on data products with one of our insurance clients
Duration: 1 Year (High Chance of Extension or Conversion to FTE)
Location: Hybrid/Toronto (3x per week Tues-Thurs)
Hours: 37.5 Hours Per Week
This data science engineer has accountability as a data domain subject matter expert, building automated capabilities and data products to accelerate advanced analytics. The data science engineer is responsible for designing and building business interpretable and performant analytics solutions. The data science engineer builds systematic, modular and scalable, self-service capabilities to continuously increase the capacity of the advanced analytics team. The data science engineer leverages and shares their deep knowledge of, and experience with, a wide variety of data analytics and technology topics. The data science engineer helps others to improve their knowledge and understanding of the use of data and technology.
Responsibilities:
- Provide data subject matter expertise
- Responsible for understanding the systems & data environment.
- Research, explore, and tinker with new data design ideas and related technologies.
- Collaborate with internal/external data experts.
- Research & leverage technical documentation to gain a holistic understanding of the data domain.
Support Analytics projects
- Work with data scientists to transform business requests into value-add data products and capabilities.
- Work closely with business teams and data scientists to collaboratively assess, understand, improve, and deliver rich data content for analysis.
- Assist in the development the conceptual/logical data models or semantic layers with appropriate business contexts.
- Automate, re-build, and re-imagine data processes to increase efficiencies in business processes.
- Tactical support of data access, understanding, engineering, visualization, and decision making.
Elevate data and analytics skills in the business
- Help people in the business better understand the use of data and automation, drawing on a thorough understanding of and experience with technologies for intelligent automation, data modeling, data management, etc.
- Identifying and guiding natural data champions in the business to enhance the profitable use of data.
- Learn salient business concepts from data champions and enable them to creatively use data technologies.
Qualifications
- University degree in quantitative based field (e.g. Mathematics, Physics, and Engineering).
- Experience with Data Enablement
- Advanced experience with databases.
- Advanced Experience in Python, SQL, Spark, C#, etc.
- Advanced Experience in automating data pipelines and working with data transformation tools.
- Advanced experience working with internal business contacts to develop analytical reports.
- Advanced experience with cloud technologies, particularly Azure, and Data as a Service (DaaS).
- Experience providing data analysis to support management decisions.
- General knowledge of data analytics theory & application.
- Experience with analytics tools and visualization tools a plus.
- Financial services experience desired
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