Advanced Data Scientist

Honeywell
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4-6 yearsSkills: ["Mathematical rigor","Production software engineering","Scalability focus"]

Translate complex business problems into mathematically rigorous objectives and optimization targets, then build production-grade machine learning and deep learning systems. Design scalable data pipelines for model training and inference, and develop and fine-tune neural networks across text, audio, and visual modalities. Architect and deploy end-to-end projects (e.g., statistical modeling, econometrics, NLP, and computer vision) to enterprise cloud environments using distributed computing.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Honeywell
Honeywell
3 days ago

Advanced Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Translate complex business problems into mathematically rigorous objectives and optimization targets, then build production-grade machine learning and deep learning systems. Design scalable data pipelines for model training and inference, and develop and fine-tune neural networks across text, audio, and visual modalities. Architect and deploy end-to-end projects (e.g., statistical modeling, econometrics, NLP, and computer vision) to enterprise cloud environments using distributed computing.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Translate ambiguous business problems into mathematically sound framework objectives and optimization targets.
  • •Write clean, modular, maintainable code to production-level scale for mathematical models.
  • •Design and manage scalable data pipelines to process massive datasets for training and inference.
  • •Build, train, and fine-tune neural networks across text, audio, and visual modalities.
  • •Architect and deploy machine learning models to cloud environments using distributed computing and robust infrastructure.

Key Requirements

  • •Advanced proficiency in Python with strong OOP, clean coding standards, and production-ready design patterns.
  • •Advanced machine learning and deep learning expertise, including scikit-learn and PyTorch (preferred) or TensorFlow for building and training neural networks.
  • •Strong big data experience building scalable data pipelines using Apache Spark (PySpark) and the Hadoop ecosystem (HDFS, Hive, MapReduce).
  • •Deep first-principles mathematics foundation (linear algebra, multivariable calculus, probability) and understanding of ML loss functions/optimizations.
  • •Hands-on NLP and computer vision experience, including transformer models (BERT/RoBERTa/GPT) and OCR/CV architectures (CNNs, ViTs/Swin).
Experience:4-6 yearsMultimodalNLPComputer visionDeep learningBig dataCloud
Education:
Skills:Mathematical rigorProduction software engineeringScalability focus
Tech Stack:PythonScikit-learnPyTorchTensorFlowApache SparkPySparkHDFSHiveMapReduceAWSAzureGCPWord2VecFastTextRNNLSTMGRUTransformerSelf-AttentionMulti-Head

Company Brief

Honeywell
Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 25B to 50B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1906
Glassdoor
Glassdoor: 3.8
WebsiteLinkedInGlassdoor