Senior Data Scientist I

• Independently designing analysis plans, and developing underlying data pipelines, models and/or algorithms to solve complex business problems.
• Create simple, meaningful visualizations to help support data analysis and stakeholder communications
• Proactively seek out and implement quality and/or efficiency improvements to our existing methodologies and processes, leveraging AI where possible.
• Develop and share efficient code used for analyses.
• Incorporate quality checks to proactively detect and correct for errors throughout analysis.
• Provide clear data-driven recommendations based on research findings that can easily be translated into business requirements.
• Collaborate with department stakeholders (Product, Operations, Engineering, Data Science, Technology, etc.). This may include providing status updates, developing timelines, sharing data, executing tests, presenting results, supporting user-acceptance testing and monitoring production rollouts to ensure business needs are met.
• Leading smaller projects, and providing informal guidance to colleagues.
• Independently designing analysis plans, and developing underlying data pipelines, models and/or algorithms to solve complex business problems.
• Create simple, meaningful visualizations to help support data analysis and stakeholder communications
• Proactively seek out and implement quality and/or efficiency improvements to our existing methodologies and processes, leveraging AI where possible.
• Develop and share efficient code used for analyses.
• Incorporate quality checks to proactively detect and correct for errors throughout analysis.
• Provide clear data-driven recommendations based on research findings that can easily be translated into business requirements.
• Collaborate with department stakeholders (Product, Operations, Engineering, Data Science, Technology, etc.). This may include providing status updates, developing timelines, sharing data, executing tests, presenting results, supporting user-acceptance testing and monitoring production rollouts to ensure business needs are met.
• Leading smaller projects, and providing informal guidance to colleagues.

• Solves complex problems by taking a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information
• Acts as a resource for other team members; may lead projects with limited risks and resource requirements
• Explains complex, difficult and/or sensitive information; works to build consensus
• Requires conceptual and practical expertise in core domain and general knowledge of related disciplines
• Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies
• 5-10 years of experience, with a track record of independent work
• Bachelor’s degree or equivalent experience in Mathematics, Statistics, Computer Science, Data Science or a related field

Advanced experience in the following areas:

• Project management including ability to prioritize multiple assignments
• Manipulating, analyzing and interpreting complex data sources to tell a story from data through analyses
• Programming in Python, PySpark and SQL for data pipeline development used to support analytics
• Trending and visualizing data within Tableau or similar BI tools
• Experience working in cloud-based environments such as AWS

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