Argentina
Jampp is a programmatic advertising platform used by the most ambitious companies to accelerate their mobile businesses. Founded in 2013, Jampp leverages machine learning, creative optimization, and proprietary advertising solutions to drive incremental growth for leading mobile advertisers such as Uber, Just Eat Takeaway.com, FREENOW, Rappi, and BIGO Live.
We've experienced tremendous growth over the past years: from expanding our global footprint to 10+ countries and building a team of 100+ mobile experts, to becoming part of the Affle Group, a fast-growing AdTech company that successfully launched its IPO in 2019 and owns multiple industry-leading platforms, including Appnext, mDSP, mediasmart, Newton, RevX, Ultra, and YouAppi, in addition to Jampp.
Today, Jampp is consistently ranked as a top mobile performance partner by the industry's leading MMPs, featured across 10 categories of Singular's ROI Index and listed as a top-10 performer in AppsFlyer's Performance Index.
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 - to name a few. In the product squad—our specialized, multidisciplinary, Dynamic & Fast-Paced—you won't work in a research silo. You will work side-by-side with Software and Data Engineers to build and deploy solutions that have an immediate, early impact on our core product.
We know our algorithms and predictions are top-notch but we need your help to take them to the next level.
As a 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 have created a small dedicated team to lead the efforts of growth and success of one of our core products. This cross-discipline team is following closely the success metrics of this product and performing ongoing efforts to improve results - by analysis, configuration and improvements to our technology.
As part of this unique team - a startup within a startup - you will oversee the various algorithms "in action", get to know them hands-on and be responsible to figure out and implement improvements on the go.
If you are highly innovative with a practical common-sense approach and enjoy seeing the impact of your solutions in action then this is a great role for you.
You may be a great fit if…
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