Data Science Lead

4 weeks ago

Pune, India Trigent Software Full time

Role: Lead Data Science

Location: Pune

Experience: 4-8 Years

Notice Period: Immediate to 15 Days

Job Description:

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

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