Applied AI Data Scientist at Arpeely

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

27 Jun, 26

Salary

0.0

Posted On

29 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, AI, Data Analysis, Engineering, Algorithm Development, Predictive Modeling, Recommendation Systems, Generative AI, Big Data, Statistical Methods, Python, Real-time Systems, Ad-Tech, Data Querying

Industry

technology;Information and Internet

Description

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

Responsibilities

The role involves devising and executing cutting-edge exploration and exploitation projects by applying Data Science, Machine Learning, and AI knowledge to create scalable data solutions. Responsibilities include analyzing petabyte-scale datasets, developing intelligent automated systems, and designing, building, and deploying AI/ML models for business impact.