Data Scientist

Here’s what you’ll be doing:

• Identifying data sets relevant to key research questions and performing statistical analyses to inform strategic decision-making
• Effectively visualizing and communicating statistical findings to a variety of stakeholders, including both technical and non-technical audiences
• Identifying and communicating opportunities for improving the overall product or data ecosystem
• Collaborating with client teams of various makeups and reporting project status to the internal KUNGFU.AI team
• Working within an AI-focused context, which requires a growth mindset
• Providing occasional cross-disciplinary support for machine learning engineers (and vice versa)

What we’re looking for:

• Deep understanding of applied statistics and product analytics
• Ability to derive well-articulated hypotheses, execute appropriate statistical tests, and interpret the results for a non-statistical audience
• Adept at leveraging data and experimental methods to divine the true nature of business phenomena such as price elasticity, customer behavior, risk, fraud, process performance
• Familiarity and exposure to various machine learning models - we do a lot of prototyping and evaluating
• A demonstrated ability to quickly adopt new tools, algorithms, and analysis techniques
• A working competency in python as well as experience with common data science tooling (e.g. jupyter, git, SQL, matplotlib, AWS EC2, to name a few)
• Experience in an environment that is doing regular causal inference, A/B testing or experimental design
• Deep intuitions when navigating complex client environments while maintaining a high bar for client service
• Experience with one or more specialized analytical domains like causal modeling, power analysis or econometrics
• A deeply collaborative nature that complements multidisciplinary project teams
• Experience with the Scientific Method and applying it to solve business problems 
• Experience with storytelling using data visualization. We don’t really care which tool you use, just that you have done this before
• More on the storytelling piece - we want someone who has experience presenting technical approaches and findings to a range of technical and non-technical audiences, so we need someone with excellent written communication skills
• Demonstrated professional experience working all the way from identifying data for a specific problem set, selecting appropriate solutions, and presenting the findings of those solutions. Essentially, you’ve worked from A to Z on a variety of data science projects
• Someone who’s resourceful and is comfortable with decision making