Location: Remote

Employment Type: Full Time

Team: Analytics

At Braviant, we believe in hiring great talent and offering them the flexibility to achieve great results unbounded by geography. Braviant is offering a fully remote option for anyone in the U.S. who wants to join our team and help us grow. We also have an office space in the heart of downtown Chicago for those who prefer to get out of the house and collaborate with some colleagues in person.

Who we are:

Braviant is a leading provider of tech-enabled credit products that combines breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime to help millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work by Crain’s Chicago, BuiltIn Chicago and American Banker.

The Role:

We are looking for a talented Lead Data Scientist to lead the development, implementation and optimization of the core statistical models that drive our business at Braviant. The right person for this role has strong technical skills with a background in machine learning and analytics, and is biased towards action and proactively seeking new solutions.

What you'll be doing:

• Lead the development, validation and monitoring of core measurement frameworks and statistical models
• Use a diverse set of statistical modeling techniques to action on new business opportunities and optimize existing strategies
• Proactively perform data exploration and analysis to identify new opportunities for profitable growth
• Develop subject matter expertise of underwriting practices or our customer acquisition channels
• Collaborate with Business teams to influence credit strategy as well as define and monitor KPIs
• Partner with Technology teams to build out data science pipelines to support continuous testing, optimization and implementation of new models

What you'll bring:

• 5+ years of experience in an analytical role with an emphasis on model building
• 3+ years of experience in financial service industry
• Master’s degree in Data Science, Applied Mathematics, Statistics, Economics, Engineering or other quantitative field
• Expert in the tools used for data manipulation and statistical analysis e.g. Python/R/SQL
• Hands-on experience using various predictive model techniques including: linear models, decision trees, boosting, and ensemble models
• Knowledge of optimization, experimental design, A/B testing and bootstrapping
• Exceptional analytical and critical thinking skills and comfort with making data-driven decisions
• Comfortable with ambiguity and possess a ‘figure it out & get it done’ mentality
• Ability to organize and manage multiple priorities with a sense of urgency
• Great verbal and writing communication skills
• Highly self-motivated in a fully remote working environment

What will make you stand out:

• Experience in building credit models for consumer lending products
• Experience in data engineering
• Deep understanding of lending industry and credit bureau data

What it's like to work here:

We're about achieving results while having fun along the way. We believe in solving problems together and building on each other’s ideas. Our teams are comprised of smart, curious individuals and we encourage everyone to think like an owner, take initiative and drive their careers. Our broad roles provide tremendous opportunities for individuals to acquire new skills, gain exposure to all areas of the business, and quickly see their impact at Braviant. Want to learn more? Check us out on [Glassdoor](https://www.glassdoor.com/Overview/Working-at-Braviant-Holdings- EI_IE1410816.11,28.htm), BuiltIn and our Newsroom