Job Url: https://hiring.cafe/?searchState=%7B%22searchQuery%22%3A%22Python%22%2C%22workplaceTypes%22%3A%5B%22Remote%22%5D%7D Job Description: Senior Data Scientist @ KUNGFU.AI View All Jobs Website United States Remote Full Time Responsibilities: Identifying data sets, Performing statistical analyses, Visualizing findings Requirements Summary: Deep understanding of applied statistics, extensive experience with causal analysis, and fluency in Python required. Technical Tools Mentioned: Python, Jupyter, Git, SQL, Matplotlib, AWS EC2 Save Mark Applied Hide Job Report & Hide Job Description Copy Job Description KUNGFU.AI is a management consulting and engineering firm focused exclusively on artificial intelligence. We empower CEOs and senior executives to leverage the full potential of AI so they remain competitive in a rapidly evolving world.  Our expert team delivers AI strategy and bespoke production-grade solutions that allow clients to rapidly realize value. We stand apart because we implement our AI strategies into production quickly, safely, and responsibly. Outside of our virtual walls we are painters, foodies, cocktail connoisseurs, musicians, crossword-doers, athletes, dungeon masters, non-profit board members, and more. We’d welcome the opportunity to meet you. As a Senior Data Scientist, you will partner with project managers, strategists, and other members of the engineering team to aid clients in gaining deeper insights into their unique challenges and organization. Here’s what you’ll be doing: Identifying and creating data sets relevant to key research/business 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. You’ll be exposed to new AI techniques and will work to complement them Collaborating with machine learning engineers to complement project work (and vice versa) What we’re looking for: Deep understanding of applied statistics and product analytics Extensive professional experience with causal analysis (e.g., propensity scores, regression discontinuity design, uplift modeling) Ability to derive well-articulated hypotheses, execute appropriate analyses, and interpret the results for a non-statistical audience Familiarity and understanding of various machine learning models - we do a lot of prototyping and evaluating A demonstrated ability to quickly adopt new tools, algorithms, and analysis techniques Fluency 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