Data Science Lead

Role:

Location:

Experience:

Notice Period

Bachelors / Masters 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

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 (whatifs) 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

Intrested candidates can forward CV to mayura_u@trigent.com