As a Data Scientist II, you will develop advanced analytics models, collaborate with teams to drive data-driven solutions, and enhance business innovation through AI and machine learning techniques.
As a Data Scientist II here at Honeywell, you will be responsible for developing and implementing advanced analytics models and algorithms to solve complex business problems. You will collaborate with cross-functional teams to understand business needs and formulate data-driven solutions, ensuring the delivery of high-quality, actionable insights to support business decision-making.
In this role, you will impact the business by leveraging cutting-edge technologies and advanced analytics to optimize processes, reduce costs, and identify growth opportunities. Your work will position Honeywell at the forefront of data-driven innovation, turning data into actionable intelligence that propels the business forward.
Responsibilities- Conducting research aligned to the roadmaps to de-risk/ mature and insert advanced AI concepts to Honeywell products (latest advancements in generative AI / Causal / Knowledge Graphs, machine learning, and deep learning techniques )
- Researching, designing, implementing, scalable AI based solutions to solve high value & challenging customer problems and drive opportunities for new growth
- Leads prototyping (what–ifs) supporting pilot programs for R&D purposes.
- Collaborating with cross-functional teams to develop data-driven solutions.
- Responsible for problem analysis, stakeholder interaction, solution design, front end and back-end integration, maintenance, and support of data science and analytics solutions
- Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes
- Bachelors / Master’s degree in Engineering, Applied Mathematics or related field
- Strong analytics skills: ability to assess data, drive insights, and make recommendations.
- Strong experience in manipulating data sets and building statistical models.
- Strong problem-solving skills with an emphasis on product development.
- Chemical engineers with APC/APM experience shall be added advantage
- Experience supporting fast-paced startup engineering teams
- In-depth understanding of the latest trends and developments in AI and ML, especially in generative models and LLM (both Cloud and OnPrem)
- Proficiency in programming languages & libraries
- Cloud: AWS, Azure.
- Languages: Advanced Python, pySpark
- Framework: Lambda , Django, Express.
- Database: Postgres, Mongo, ES
- Hands on experience in Design and development including Automated Unit testing (pyTest) with strong technical background to create performant & extendible applications
- Minimum 4 years of relevant experience in data science related product development.
- CV shall include
- Education with Grades/percentile / percentages
- Experience summary with years
- Skill set summary
- Project(s) description
- Technologies used in the project.
- Role of the candidate in the project.
- Technologies with Hands-On experience of the candidate (project specific)
- Education with Grades/percentile / percentages
Top Skills
Advanced Python
AWS
Azure
Django
Es
Express
Lambda
Mongodb
Postgres
Pyspark
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