Data Scientist

Data Scientist

This job is no longer open
The Role

Translating data into decisions is at the core of the Data Science initiative at Voltus. You are comfortable writing Python for analytics, but you take pride in the fact that you can write production code. You are scrappy, finding solutions for data you do not have or inventing methods of accessing data before proper pipelines have been built out. You are interested in the data engineering side of the modern data stack and are eager to lay the foundations for the future of data science at Voltus. You will have an opportunity to showcase your software prowess, statistical modeling, and business acumen as we respond to critical business questions. You are bright, gritty, and good, and you want to work with others like you.

What you will do

    • Work with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive business decisions
    • Write reproducible analysis merging and melting from a variety of different data stores
    • Build production-ready products while helping to define proper project milestones
    • Work with the Data Team to identify datasets, build data pipelines and translate your ad-hoc analysis into production systems
    • With an eye towards the future, you will drive our engineering platform to enable data science

What skills you have

    • Comfortable in the pydata ecosystem
    • Comfort manipulating timeseries
    • Intermediate to advanced SQL
    • Ability to translate business needs into analytical frameworks

What is important to us

    • Tenacity, drive, and dedication to bring analysis from a back of the envelope calculation to a polished, well thought out decision
    • The right balance between creativity and humility. We want to craft and support new ideas while also maintaining a bias for action.
    • Communication and collaboration. Teamwork is everything and we value a culture of supporting each other to grow, learn, and improve
    • Time management and project planning. Breaking down large initiatives into smaller, well-prioritized tasks is key to meeting our business objectives and succeeding as a team   
This job is no longer open
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