Data Scientist
WHO WE ARE
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.
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 - 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.
WHAT YOU’LL DO
Perform ongoing analysis of success metrics to uncover places and ways where our algorithms can be modified to achieve better results.
Refine models that support real-time events and internal stakeholder decisions across the business.
Design, code, and deploy modifications to our algorithms and supporting production code (mostly in Python).
Collaborate daily within a multidisciplinary squad (Devs, Data Engineers, PMs) to ensure data science solutions are integrated into the product strategy.
Communicate and collaborate with the other data science teams.
REQUIREMENTS
2-3 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 and Scientific/ML Python stack (numpy, scipy, pandas, mpl, seaborn)
💙 Passion - you have used a data-driven approach to solve a problem you care about
Highly detailed-oriented and exceptional organizational and follow-through skills is a must
Comfortable conducting daily professional communications in English (written and verbal).
YOU MAY BE A GREAT FIT IF…
You have experience with highly imbalanced datasets or pricing/optimization problems (e.g., Fintech fraud, recommendation engines, or dynamic pricing).
You have working experience implementing complex statistical analyses
You have 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 OFFER
📱Learn a ton about the hottest area of growth in Internet advertising - Mobile!
💰Competitive salary
🤰🏻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! We have jamppers from 🇧🇷🇬🇧🇺🇸🇮🇪🇩🇪🇦🇷🇷🇺... our customers are not the only ones from around the globe 😉
😎 Cool swag and team activities (even when working from home!)
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.
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 - 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.
WHAT YOU’LL DO
Perform ongoing analysis of success metrics to uncover places and ways where our algorithms can be modified to achieve better results.
Refine models that support real-time events and internal stakeholder decisions across the business.
Design, code, and deploy modifications to our algorithms and supporting production code (mostly in Python).
Collaborate daily within a multidisciplinary squad (Devs, Data Engineers, PMs) to ensure data science solutions are integrated into the product strategy.
Communicate and collaborate with the other data science teams.
REQUIREMENTS
2-3 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 and Scientific/ML Python stack (numpy, scipy, pandas, mpl, seaborn)
💙 Passion - you have used a data-driven approach to solve a problem you care about
Highly detailed-oriented and exceptional organizational and follow-through skills is a must
Comfortable conducting daily professional communications in English (written and verbal).
YOU MAY BE A GREAT FIT IF…
You have experience with highly imbalanced datasets or pricing/optimization problems (e.g., Fintech fraud, recommendation engines, or dynamic pricing).
You have working experience implementing complex statistical analyses
You have 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 OFFER
📱Learn a ton about the hottest area of growth in Internet advertising - Mobile!
💰Competitive salary
🤰🏻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! We have jamppers from 🇧🇷🇬🇧🇺🇸🇮🇪🇩🇪🇦🇷🇷🇺... our customers are not the only ones from around the globe 😉
😎 Cool swag and team activities (even when working from home!)