our world. Not NASDAQ; the one with way more events – the Global Ads
Exchanges, where millions of ads are born and clicked every second.
Step behind the curtain of algorithms and competitors that move $1T of annual
budgets. Plunge into a world of ISP-volumes of traffic, sub-second predictions
and TBs of live, real-world data. Use cutting-edge analysis, ML and
engineering or just plain hacker-like thinking to out-perform the market.
Arpeely is a Data-Science startup, leveraging data analysis, ML, engineering,
multi-disciplinary thinking to gain a market edge and exploit hidden
opportunities in real-time advertising. Processing over 0.5m requests per
second and serving over 20B sub-second predictions daily, we build and operate
Machine Learning algorithms running on the world’s largest Real-time-bidding
(RTB) Ad-Exchanges. Arpeely is a Google AdX vendor and serves clients spanning
from startups to Fortune-50 companies.
As an Applied Research Scientist, you will solve company-strategic challenges
by coming up with novel algorithms and super-charge existing ones while
working in a fast-paced, quick-feedback rewarding environment. You’ll see your
breakthroughs proliferate across cross-company challenges having an immediate
impact in the company’s bottom-line success.
What You’ll Do:
* Solve complex and strategic data challenges and proliferate knowledge and breakthroughs cross-company
* Own the process end-to-end from research, theorization, strategy development to deployment, outcome analysis and refinement
* Merge theory with practice by designing strategies and algorithms within the company’s core acquisition engine, deploy them end-to-end and see their success in production
* Become the focal point of the Machine and Deep Learning areas of expertise within the company and guide fellow data scientists, researchers and analysts
* Enjoy a high level of autonomy in a fast-paced business and work environment within a small and growing organization
* Collaborate with a team of A-player researchers and engineers to solve complex data and market problems
Who we are looking for:
* 5+ years of experience working as a Data Scientist in an innovative environment
* MSc/ PhD in Computer Science, Machine Learning, Physics, Statistics, Applied Math, or relevant qualifications
* Proven experience building ML/DL solutions in production (using TensorFlow/Pytorch)
* Proven ability of leading and delivering complex research projects.
* Solid understanding of computer science fundamentals, data structures, and algorithms.
* Experience in RTB, AdTech, FinTech – Bonus
* Prior experience in startup environments – Bonus
