Junior Data Scientist
Consumer Physics, Inc. (Scio)
Company Overview
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 Junior Data Scientist to join our Data & Algorithm team. This role requires a highly data- and detail-oriented individual who is thorough, creative, and proactive, to develop and deploy 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.
- Collaborate with cross-functional teams to integrate models into real-world products.
- Preprocess, analyze, and structure datasets to support robust and scalable solutions.
- 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
- M.Sc. in Exact Sciences, Engineering, Computer Science, or equivalent.
- Experience in advanced ML or DL algorithms.
- Excellent analytical and problem-solving abilities, with attention to detail.
- Ability to perform in a fast-paced, dynamic startup environment.
- Independent and creative thinker.
- Outstanding communication skills in both Hebrew and English.
- Strong interpersonal skills and proven ability to work effectively in a team.
Advantages
- Background in spectroscopy/chemometrics.
- Experience with data-driven product integration and customer-facing technical support.