Come [legally] hack with us the data on the largest exchange that’s running 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