About this role
<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:18.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Company Overview</b></H2> </div><div><table style="width:100%" border="0" cellspacing="1" cellpadding="1"> <tbody> <tr> <td> </td> </tr> </tbody> </table> <p><strong><u>Imagine Everything. Build the Future with Hexion.</u></strong></p> <p> </p> <p><strong>At Hexion, we push boundaries, rethink possibilities, and create real impact.</strong> We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.</p> <p> </p> <p><strong>This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next.</strong> Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.</p> <p> </p> <p>We don’t follow the status quo—we challenge it, disrupt it, and improve it. <strong>Every role at Hexion is part of something bigger.</strong></p> <p> </p> <p>We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. <strong>With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.</strong></p> <p> </p> <p><strong>Your Future Starts Here. </strong></p> <p> </p> <p>If you’re ready to <strong>push limits, reimagine what’s possible, and create the extraordinary,</strong> Hexion is where you belong. </p> <p> </p> <p><strong>Anything is possible when you imagine everything.</strong> </p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:18.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>About the Role </b></H2> </div><div><p> </p> <p>We are seeking a Machine Learning Data Scientist to join our applied research team, where we develop real-time decision-making and recommendation systems for industrial production lines. You'll be responsible for developing robust and interpretable machine learning models that transform complex sensor data into actionable insights. </p> <p> </p> <p>This role requires a strong mix of analytical thinking, practical ML experience, and the ability to work with real-world, noisy datasets. You'll collaborate closely with deep learning researchers, research engineers, and domain experts to design experiments, evaluate model performance, and bring impactful solutions to production. </p> <div> <p><strong><span>Team</span></strong><span>: Research & Innovation</span><span> </span></p> </div> <div> <p><strong><span>Reports to</span></strong><span>: Director of AI</span><span> </span></p> </div> <div> <p><strong><span>Location</span></strong><span>: Hybrid – Herzliya, Israel</span><span> </span></p> </div> <div> <p><strong><span>Type</span></strong><span>: Full-time</span><span> </span></p> </div></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:18.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Job Responsibilities</b></H2> </div><div><p> </p> <ul> <li>Design, train, and evaluate machine learning models (e.g., classification, regression, clustering, ranking) for real-time industrial applications. </li> <li>Engineer meaningful features from raw sensor and control data. </li> <li>Analyze large-scale datasets to uncover patterns, define KPIs, and guide algorithm development. </li> <li>Validate model assumptions, monitor performance over time, and detect model drift or anomalies. </li> <li>Work with data engineers to define data requirements and prepare clean, structured datasets. </li> <li>Collaborate with research engineers to operationalize ML models in production environments. </li> <li>Document findings and present insights to both technical and non-technical stakeholders.</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:18.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Minimum Qualifications</b></H2> </div><div><p> </p> <ul> <li>B.Sc./M.Sc. in Computer Science, Statistics, Applied Mathematics, or related field. </li> <li>5+ years of experience applying machine learning to real-world problems. </li> <li>Strong skills in Python and ML libraries such as scikit-learn, XGBoost, LightGBM, or CatBoost. </li> <li>Experience with feature engineering, model selection, hyperparameter tuning, and evaluation techniques. </li> <li>Solid understanding of statistics, data distributions, and uncertainty estimation. </li> <li>Hands-on experience working with messy, high-dimensional, or time-series data. </li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:18.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Preferred Qualifications</b></H2> </div><div><p> </p> <ul> <li>Background in industrial, sensor-based, or time-series prediction problems. </li> <li>Familiarity with anomaly detection and root cause analysis. </li> <li>Experience working closely with MLOps or deploying models to production. </li> <li>Comfort working in fast-paced environments with evolving data and priorities </li> </ul> <p> </p></div></div></div>