At Ready Education, we are deeply committed to improving student success and college graduation rates worldwide by crafting digital experiences that build community and increase student engagement. We work with over 300 higher education institutions globally, helping them better engage their students, improve the student life experience on their campuses, and ensure that they ultimately provide success for their students.
Understanding students and institutions, as well as their behaviours through data, lies at the foundation of our work to improve student success. Every data point in our systems is important to helping us achieve that goal, so we’re looking for people with a strong background in data engineering and analytics to help us design, build, scale, as well as maintain our data pipelines and models. As a Data Science Engineer, you will be working with a variety of internal teams across engineering, product, and business to help solve their data needs. Your work will directly and tangibly impact the success of millions of students across the world.
We are looking for individuals who share our values, who will:
Put Student Success First: Ready Education exists to improve student success. As an engineer on the team, you will work to ensure that our product is successfully adopted and utilized by our 300+ campuses, and with every decision, always put the student at the heart Accomplish More As a Team: our team here at Ready is made up of passionate, hardworking people who support, care for, and challenge each other to achieve wins together. We learn from each other and embrace creative tension to ensure the best idea wins. We collaborate to solve problems together Have a Learning Mentality: we are looking for intellectually curious people who never stop learning and growing and who embrace change, which is essential at a constantly evolving tech company. You will continuously push yourself and others around you to improve and evolve Move Fast and Innovate: to be successful at Ready, you will need to be self-motivated and able to work autonomously. You will need to have excellent judgement and decision making skills to solve problems and move forward quickly
In terms of the role and responsibilities, you will:
Identify the data needs of our engineering, product, and business teams, understand their specific requirements for metrics and analysis, then build efficient, scalable, accurate, and complete data pipelines to enable data-informed decisions across the company Architect data pipelines and models that power internal analytics for our teams, as well as customer-facing data visualization product features Drive the collection of new data and the evolution of existing data sources, collaborate with the engineering teams to manage our product instrumentation strategies and data structures Help the product and engineering teams understand and generalize statistical models from our research efforts, and help build data systems that would allow these models to be used directly in our product to drive student success Work with the Product Manager on the squad to ensure productive, fast-moving sprints that deliver the maximum value to our customers Work with the other senior engineers and architects to ensure that our integrations stack is reliable, flexible, and scalable Help to continuously improve the team processes of our engineering team
Have at least 3 years of experience in a Data Engineering or Data Science role, with a focus on instrumenting data collection, building data pipelines and conducting data-intensive analysis Have a strong engineering background and are interested in data Care deeply about the integrity of data, have a good nose for inconsistencies in data, and be able to pinpoint the issue, to ensure that the team is not making decisions based on inaccurate or incomplete data Have extensive experience of a scientific computing language (e.g. Python) and SQL Experience with Data Tools like airflow
Have experience building system that process data across multiple data stores and technologies, including MySQL, Redis, Elasticsearch Know the best practices of how different types of data should be visualized in different contexts Have good writing and verbal communication skills
Nice to haves:
Experience working with Python web applications Experience working in the higher-ed technology space, particularly in a Data Engineering related role Experience working with a remote or distributed team
This position is remote anywhere in North America
About Ready Education
We help students finish their degrees by building communities online and offline.
As a startup, we focus on iteration. We put students first, and to do that we have to work collaboratively as a company to think about what adds value for a student working to complete their degree. We focus on transparency and having a learning mentality to identify areas where we can improve. We also like to take time out to celebrate our wins and openly discuss opportunities for improvement. Spending time with members of various teams and recognizing others for representing our company values is something that happens on a weekly basis. We take pride in supporting millions of students in North America across hundreds of Higher Education Institutions of all types.
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