Senior Applied AI 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