Senior Data Science

WHO WE AREAt Jampp, we’re on a mission of playing a leading role in enabling the mobile app economy to grow. We build technology to support the most ambitious companies – from gaming to commerce pioneers – to propel the reach of their apps and accelerate their mobile businesses. A demand-side platform (DSP) at heart, the technical challenges we face every day are huge: processing over 2 million auctions per second in less than 40ms each, efficiently storing over 150TB of events‘ data daily, and continuously choosing the optimal price level for 300+ campaigns spending several million dollars every month in a constantly changing market.WHY DO WE NEED YOU?Data, and how it is used, plays a central role at Jampp and is at the heart of how we make product, business, operational, and financial decisions. The Data Science team tackles challenging problems across many technical disciplines, including time series forecasting, graph mining, algorithmic optimization on petabytes of data, and causal inference with missing data. We know our algorithms and predictions are top-notch but we need your help to take them to the next level.As a Senior Data Scientist, you will help us identify the questions we should be asking, and answer them. You will be responsible for tackling challenging problems at scale across many technical disciplines. We believe in end-to-end ownership of projects. For any given project, we have one person on point. While you do not necessarily have to do all the work by yourself, it is your job to make sure all the work gets done. If you thrive wrapping your head around tough problems at scale and love creating new and innovative solutions, then this is a great role for you.Jampp is a remote-first company. For this position, it means that you can work remotely from any country compatible with Argentina’s time zone.WHAT YOU’LL DOPerform rigorous analysis to discover the important questions that Jampp should be asking, and then answer them with data.Build models that support real-time events and internal stakeholder decisions across the business.Design, code, and deploy highly scalable features (mostly in Python) from a massive machine learning system that powers our economic module.Design and run your own experiments.REQUIREMENTS3+ years of experience in data science type roles.Relevant experience in Applied Mathematics, Statistics, Computer Science, Econometrics, or other quantitative field.Demonstrate proficiency with our current Data Science Stack: Python (3.9) and Scientific/ML Python stack (numpy, scipy, pandas, mpl, seaborn).Strong expertise in quantitative research and applied statistical methods and advanced experiment design.Passion – you have used a data-driven approach to solve a problem you care about.Highly detail-oriented and exceptional organizational and follow-through skills are a must.YOU MAY BE A GREAT FIT IFYou have experience in implementing large scale systems in one or more of the following areas: Machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence.You have working experience implementing complex statistical analyses.You take pride in working on projects to successful completion, involving a wide variety of technologies, systems, and modeling techniques.You like working in a self-sufficient, autonomous manner, striving through ambiguity.You have a sense of urgency and ownership over the product.Smarts, humility, and equal willingness to learn and teach.WHAT WE OFFERLearn a ton about the hottest area of growth in Internet advertising – Mobile!Competitive salary.High quality medical care.Extended Maternity/Paternity leaves.Extended holidays every year.A great level of responsibility from day one and the chance to develop your potential without limitations.An entrepreneurial environment.A dynamic remote-first work culture with the possibility of accessing coworking spaces as needed.A structured remote onboarding process and continuous training with a supportive team. We win together!Work with a talented global team that you can constantly learn from!Cool swag and team activities (even when working from home!). #J-18808-Ljbffr