The Business Intelligence market is undergoing a revolution rooted in the idea that not everyone is going to be a data expert, but people should still be empowered to make decisions using data. We believe data storytelling is critical to addressing this problem and Narrative Science is at the cutting edge of this movement. To support this mission, the most successful engineers at Narrative Science balance drive, resilience, humility, and creativity.
We are seeking a highly motivated, talented Engineer to join our product development team as Tech Lead. We expect that all engineers can work across our stack to some degree, but most engineers at Narrative Science have a primary focus. For this role, we’re looking for an engineer who has a passion for analytics, statistics, or machine learning. Ideally, this person has experience developing, deploying, and integrating ML solutions into SaaS systems.
To be successful in this role, you are someone who is comfortable owning and leading new projects end to end, working closely with product teams, and have a strong focus on improving the overall customer experience. You enjoy helping and mentoring people and believe that a great product comes from great team collaboration. You take delight in debugging unfamiliar problems and push yourself and others to grow as engineers.
This role will be on our Depth Team, which primarily focuses on taking user-provided data and writing a comprehensive story about it. We do this by determining what questions Lexio can answer based on the data, determining which answers are most relevant to the user, how the story should be structured with our NLG platform, and finally, how we want to present that story to our users in an interactive and intuitive way.
As a Tech Lead on the Depth Team you will be focused on how we present our story and what content we choose to surface to the user within the story. You will have direct ownership over a large part of our code base and will be working hand in hand with our product and development teams to improve the analysis and content in our stories. In this role, you will have a solid mix of greenfield projects and platform improvements, along with plenty of opportunities to prototype and build lasting features and enhancements.
- 5+ years of professional software development experience
- Proven expertise in Python or equivalent
- Demonstrated ability to write clean, helpfully commented and readable code
- A drive to learn constantly with an analytical and problem-solving mindset
- A desire to grow as both a software and data engineer
- Experience with Unix / Linux systems (e.g. Ubuntu, CentOS, RedHat, etc.)
- Experience with Data Science Stack such as Sklearn, TensorFlow, Keras, etc
- Experience building and deploying ML solutions with statistical languages such as Python or R
- Familiarity with cloud computing, particularly AWS
The Engineering team at Narrative Science specializes in delivering high-value cloud-based solutions to customers. Specifically, we are responsible for building and innovating on an insightful and personalized data storytelling platform. We work a lot with data pipelines, analytics, natural language generation (NLG), continuous deployment tooling, and cloud architecture.
Culture @ Narrative Science
Narrative Science believes that data storytelling can empower everyone to understand and take action from their data. Our mission is to build software that leverages artificial intelligence to automatically turn data into easy-to-understand reports, transform statistics into stories, and converts numbers into knowledge.
Our core virtues (mission-driven, impactful, team-first, innovative) are ingrained in everything we do, from how we develop our technology to how we interact with customers to how we hire people. Since 2020, we have embraced a remote-first approach and our team has the option to work from home or safely from our Chicago office. This flexibility will remain after COVID.
At Narrative Science, we embrace the diverse backgrounds, experiences, and perspectives of our future employees, colleagues, customers, partners, and other stakeholders. We provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, genetic information, or any other characteristic protected by law.
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