Data Scientist

Founded in 2009 and 100% self-funded to this day, Natural Intelligence is a leader in online multi-vertical marketplaces. Our global brands, Top10.com and BestMoney.com, help millions worldwide make informed decisions every day. Our proprietary platform, xMatch, harnesses AI and ML technologies in order to help consumers make easier choices, and find the right products and services tailored to their needs.

We are looking for a top-notch Data Scientist to lead the design and implementation of the machine learning models and pipelines in Natural Intelligence’s experimentation and personalization platforms, using cutting-edge technology and tools.

Responsibilities:

• End-to-end project ownership with advanced modeling: Take ownership of projects from ideation and design to deployment, leveraging advanced machine learning and deep learning techniques to develop innovative solutions that address complex business challenges.
• Data exploration and preprocessing: Gather, clean, and preprocess large-scale datasets from diverse sources, ensuring data quality and readiness for modeling.
• Develop scalable production-ready code: Develop for both real-time and batch modeling pipelines, collaborating with data and engineering teams for seamless integration.
• Innovation and research: Stay ahead of industry trends by exploring and applying cutting-edge advancements in data science, machine learning, and AI to solve emerging challenges.
• Data visualization and insight communication: Transform complex analytical results into actionable insights through clear visualizations and articulate presentations for diverse audiences, including technical and non-technical stakeholders.
• Collaboration across teams: Work closely with cross-functional teams—product managers, engineers, and business leaders—to identify opportunities, prioritize initiatives, and deliver impactful results.

Requirements:

• BSc in a quantitative field (math, statistics, computer science. etc.)
• 3+ years of experience in a role developing predictive or explanatory models or experimentation processes with real-world data
• Deep statistical & mathematical knowledge (regression, linear algebra, properties of distributions, etc.) and the ability to understand, utilize and innovate on state-of-the art machine learning algorithms and statistical modeling
• Strong background in Python with experience in Data & ML packages and OOP
• Experience writing SQL queries
• Developing production systems - an advantage
• Experience with AWS ecosystems - an advantage
• Master's degree or PhD in Computer Science or related technical field - an advantage.

*Only suitable CVs will be considered.