Principal Data Scientist

Join the team that's bringing innovation to car insurance. Noblr empowers its members to personalize their monthly car insurance rates using their smartphones. Our members log their trips with the Noblr app, get driving insights that help them continuously improve, and earn rewards for responsible driving. Our goal is to build a safe-driving community through responsible driving.

We are looking for a Principal Data Scientist with engineering background who will not only guide us in developing machine learning models and infrastructure but also can help with data engineering tasks which includes managing real-time data pipeline and data warehouse.

As a Principal Data Scientist, you will:

• Work with large scale dataset which includes transactional, click-stream, and telematics data;
• Build models, synthesize stories from data, and turn the stories into recommendations for building products that help our members to continuously improve on their driving;
• Help build econometric models to drive operational excellence;
• Work on data acquisition strategy to augment our dataset and drive value to our organization and members;
• Partner with cross-functional teams to execute product roadmap and ensure data is always a forethought in decision-making;
• Work with Data Engineers in building and maintaining near real-time data pipeline and machine learning infrastructure;
• Establish and maintain data dictionary;
• Own data quality controls and metrics;
• Build and mentor a team of awesome data scientists.

Apply if you:

• Have 5+ years of programming experience (Python preferred);
• Have 3+ years of experience in developing models and productionizing it;
• Have 3+ years of experience in machine learning infrastructure and AWS data stack;
• Are an expert in statistical programming language (eg. Pandas, MATLAB, R);
• Have proficiency in visualization tools (eg. matplotlib, ggplot2, Tableau);
• Have worked on A/B testing, funnel optimization, cohort analysis, and user profiling;
• Can split the time between data science and data engineering;
• Have Bachelor's Degree (or higher) in Computer Science, Math, Statistics, Economics, or similar domain.

Nice to have:

• Recent experience working in a startup;
• Worked on telematics dataset.

Culture and benefits:

Besides traditional benefits (flexible time off, catered lunches, stocked kitchen, and health benefits), we believe in:

• Empowering the team to make and own choices;
• Opportunities to experiment and learn;
• Work that gives our members the best value.