About SCiO

SCiO is revolutionizing material analysis by making it real-time, precise, and actionable. Our pocket-sized NIR spectroscopy solutions empower customers in the food and agriculture industries to optimize their operations, achieve scalable growth, and confidently make data-driven decisions. We’re dedicated to providing seamless integration, intuitive tools, and a network of insights that enable businesses to unlock the full potential of their materials.

We are looking for a Data Scientist to join our Data & Algorithm team. This role requires a highly data- and detail-oriented individual who is thorough, creative, and proactive, with proven experience in developing and deploying machine learning and deep learning models in production environments.

Key Responsibilities

• Research, design, implement, and optimize machine learning and deep learning models for spectroscopic-chemometric problems.
• Take ownership of end-to-end research cycles, from requirements gathering and feasibility analysis to model deployment.
• Collaborate with cross-functional teams to integrate models into real-world products.
• Preprocess, analyze, and structure datasets to support robust and scalable solutions.
• Innovate and propose new methods to address the company’s core technical challenges.
• Conduct feasibility experiments and performance evaluations.
• Participate in customer-facing and on-site activities, including presenting technical insights and supporting applied use cases.

Required Skills & Qualifications

• B.Sc. in Exact Sciences, Engineering, Computer Science, or equivalent.
• Three years of experience as a data scientist working with Python, machine learning, and deep learning in production environments.
• Strong expertise in advanced ML/DL algorithms and their practical application.
• Excellent analytical and problem-solving abilities, with attention to detail.
• Ability to perform in a fast-paced, dynamic startup environment.
• Independent, proactive, and creative thinker with strong initiative.
• Outstanding communication skills in both Hebrew and English.
• Strong interpersonal skills and proven ability to work effectively in a team.

Advantages

• M.Sc. or PhD in a relevant field.
• Background in spectroscopy/chemometrics.
• Experience with data-driven product integration and customer-facing technical support.