Sr Advanced Data Scientist

Honeywell International Inc.
United States
3 days ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Artificial Intelligence Microsoft Azure Big Data Computer Programming Databases Data Cleansing Data Visualization Distributed Computing Environment Apache Hadoop Apache Hive Python (Programming Language) Machine Learning
+6 more
Feature Engineering Prompt Engineering Pyspark Information Technology Virtual Agents Databricks

Job description

  • Collaborate with cross-functional teams to identify business challenges and opportunities for AI-driven solutions.
  • Translate business requirements into technical specifications for data science initiatives.
  • Partner with S4 team, functions and the business teams to understand AI capabilities, execute data readiness workstream for S4 and deploy AI enabled workflows for the PT business.
  • Evaluate model performance and fine-tune algorithms to improve accuracy and efficiency.
  • Deploy AI models with dependent solutions into production and monitor their performance to ensure reliability and scalability.
  • Design agentic AI architectures with prompt engineering and rule-based automation to identify root causes, recommend actions, and continuously refine business-aligned solutions.
  • Develop and implement advanced AI models and algorithms to analyze complex datasets.
  • Stay current with emerging AI research and technologies, incorporating relevant innovations into AI solutions.
  • Ensure AI solutions adhere to data governance standards and ethical best practices throughout their lifecycle.

Requirements

YOU MUST HAVE

  • 6+ years of experience in data science, machine learning, or a related field.
  • Proven experience in developing and deploying AI models and algorithms.
  • Experience working with Databricks, Azure AI foundry, Google Gemini Enterprise Agent platform or similar for data preparation, training, and experiment tracking.
  • Strong programming skills in languages such as Python or R.
  • Strong project management and organizational abilities
  • Strong written and spoken communication skills in English., * Bachelor’s or advanced degree in Computer Science, Data Science, Mathematics, or a related quantitative field.
  • Experience with big data platforms and distributed processing, including Hadoop, PySpark, Hive, and related technologies.
  • Strong foundation in machine learning and statistics, including feature engineering, algorithm selection, hyperparameter tuning, and predictive modeling.
  • Hands-on experience with GenAI and agentic frameworks, such as LangChain, LlamaIndex, vector indexes/databases, and S/4 AI agent workflows.
  • Experience preparing and analyzing multimodal data (text, images, audio, PDFs) and visualizing insights using modern data visualization tools.
  • Proven leadership and collaboration skills, including leading data science initiatives, solving complex problems, and working effectively in fast-paced, cross-functional teams

About the company

Honeywell helps organizations solve the world’s most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

Videos

See all

Related articles

See all