Advanced Data Scientist
Honeywell International Inc. (company site, opens in a new tab)4–6 yrsBengaluruOn-siteDirect career pageEst. 16–28 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Translate ambiguous business problems into mathematical objectives and optimization targets.
- Develop production-grade, modular code for scalable mathematical models and data pipelines processing massive datasets.
- Build, train, fine-tune complex neural networks across text, audio, and visual modalities with deployment to cloud environments.
Minimum Requirements
- 4 to 6 years of industry experience as Data Scientist or Machine Learning Engineer with complex multimodal projects.
- Advanced proficiency in Python with OOP, scikit-learn, PyTorch or TensorFlow, Apache Spark (PySpark), Hadoop ecosystem, and cloud platforms (AWS, Azure, or GCP).
- Bachelor’s, Master’s, or Ph.D. in Mathematics, Statistics, Econometrics, Computer Science, Physics, or Operations Research.
- Strong foundational mathematics (linear algebra, multivariable calculus, probability), machine learning, NLP, and computer vision expertise as detailed.
Ideal Candidate Profile
- Experienced designing and deploying scalable ML applications on cloud infrastructure for industrial or automation domains.
- Proficient in advanced deep learning architectures including Transformers for NLP and vision, and productionizing large-scale data solutions.
- Strong quantitative background with demonstrated ability to translate ambiguous problems into mathematically rigorous solutions and clean, maintainable code.