We're always looking for outstanding candidates interested in working for Narrative Science, though we don't have any current openings for this particular role. We'd be happy to place your information on file and reach out proactively when an opportunity becomes available - simply apply below.
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. The most successful engineers at Narrative Science balance drive, resilience, humility, and creativity to support this mission.
We are seeking a highly motivated, talented Senior Software Engineer to join our product development team. In this role, you will have direct ownership over how our product and development teams work 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.
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.
Qualifications:

• 4+ 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 a software engineer across full-stack development, infrastructure, and data engineering
• Experience with Unix / Linux systems (e.g. Ubuntu, CentOS, RedHat, etc.)

Bonus:

• Familiarity with cloud computing, particularly AWS
• 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

Our Team
The Engineering teams 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. Based on your experience, you'll be part of our Depth team or our Breadth team.
Our Breadth team is responsible for the components of our data storytelling product, Lexio, that connects to customer data sources, runs analytics, and ensures Enterprise Ready access.
Our Depth Team 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.
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.