Data Scientist, Capacity

We are looking for someone who is inquisitive and enjoys applying data to address complex questions and tackle new challenges. They must have an appetite to investigate complex issues and to enable team members to do more with data themselves.

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Reporting to the Manager of Data Science & Analytics for Capacity, this individual will help evolve our company’s product database to meet ever-changing circumstances, help forecast demand trends, and help develop solutions to a variety of analytic problems. They will help visualize results and help generate KPIs, reports, and dashboards.

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Responsibilities

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• Contribute to the evolution of the Product and Capacity databases, and support historical data tracking, forecasting, dashboarding & reporting, metrics, demand analysis across our product lines.
• Contribute to the development of data pipeline requirements with product, capacity, and engineering teams to help support new product launches and for evolving product roadmaps.
• Collect, join, and maintain data in support of team objectives, while maintaining data quality and integrity and then digest data into consumable metrics for visualization.
• Identify concerns and work with your manager and other teams to develop measurements, collect data, and provide resolution to challenging problems.
• Incorporate product, hardware, and datacenter constraints into the solutions you produce, to ensure viability of the plans presented to stakeholders.
• Gain understanding of various demand streams and product trends when developing forecast predictions that will be actioned by the company.
• Perform data analysis by distilling large data sets and to inform business decisions that prioritize operational trade-offs and capital spend.
• Contribute to capacity planning models and analytic tools that process relevant data and track capacity performance.

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Qualifications

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• You have 1-3 years of experience
• You excel at wrangling data, and this is your professional passion
• You have good SQL skills and understand core principles of database design
• You have experience working with Data Warehouses and/or Data Lakes

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You have working experience with programming languages like Python, R, Julia

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• You are skilled at data visualization and working with BI software (e.g. Looker, Tableau, Power BI, Excel, Plotly, GGplot2, R-shiny, etc)
• You are familiar with the basic components of modern cloud computing, including: virtual machines, hypervisors, and computer networking

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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000-$150,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

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