Senior Data Scientist

About Us Come [legally] hack with us on 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 outperform 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 350k 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.  We are looking for a passionate Senior Data Scientist to join our all-star team. This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results, marketing and data-oriented environment. If you are experienced but still hungry to learn and impact - we’d love to have you on our team! What You’ll Do • Devise, initiate, manage, and execute cutting-edge exploration and exploitation projects. • Apply your knowledge of Data Science, Machine Learning, and AI-driven algorithms to create scalable data solutions. • Analyze extremely large (petabytes) and diverse datasets to solve complex problems, and develop automated, intelligent systems to address them. • Design, build, and deploy AI/ML models (including predictive models, recommendation systems, and generative AI solutions) to drive business impact. • Leverage modern AI tools and frameworks to accelerate research and production workflows. • Proactively seek growth opportunities aligned with core KPIs. • Enable real-time and near real-time data insights — instant data gratification guaranteed.

Requirements: • 4+ years of practical analytics experience in big data environments (preferably in a B2C company). • A hands-on, passionate individual who enjoys diving deep into algorithms, data, and business problems. • Excellent analytical skills with experience querying large, complex datasets. • Strong understanding of statistical methods and significance testing. • Hands-on experience with machine learning algorithms and Python. • Experience working with modern AI approaches, including applied machine learning and familiarity with generative AI tools. • BSc (or higher) in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field. • Self-learner, able to quickly adapt to new technologies and AI-driven workflows. • Independent, proactive problem-solver with strong ownership. • Excellent communication skills, both written and verbal. • Familiarity with the ad-tech industry — a big plus. • Experience implementing real-time machine learning or data-driven systems at scale — a big plus. • Experience integrating AI models into production environments or decision-making systems — a plus. • Fun to work with and a strong team player.