Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. 

We believe in the power of diversity and inclusion and cultivate a workplace culture of belonging that views uniqueness as a competitive edge and builds a community that enables our people to push the limits of innovation to make great products that create value and improve people's lives. 

A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.

Job Summary

To support our extraordinary teams who build great products and contribute to our growth, we’re looking to hire Senior Data Scientist – IT who is based out of Coimbatore location.

Reporting to Manager & the role involves,

What a typical day looks like:

  • Act as a data scientist skilled in supply chain domain with ability to understand and articulate advanced analytics solutions.
  • Able to build RAG pipelines for LLMs with enterprise data.
  • Analyze data from various systems and helps define the problems and expected outcomes.
  • Help the team to build the models and solutions using data analysis, data mining, optimization tools and machine learning techniques and statistics.
  • Analyze and interpret the results of analytics experiments.
  • Present to relevant stakeholders on the problem and the solution.

The experience we’re looking to add to our team:

  • Any Bachelor or Master degree with minimum 4+ years of proven experience in Data Science and analytics with Python.
  • Experience solving analytical problems using quantitative approaches .
  • Familiarity with relational databases and SQL.
  • Proven ability to articulate the insights from dashboards, reports, and data
  • Self-driven, energetic, flexible, resourceful & ability to multitask.
  • Adherence to committed timelines, without sacrificing quality of output.
  • Hands on and detail oriented, with a strong ability to co-ordinate across different geographies and with different stakeholders at various levels.
  • Excellent communication and presentation skills.

Here are our preferred experiences :

  • Ability to use data for exploratory, descriptive, inferential, prescriptive, and advanced analytics.
  • Experience of having done visualization on large datasets.
  • Ability to build data-science and technology based algorithmic solutions to address business needs.
  • Passion for empirical research and for answering hard questions with data.
  • Ability to handle and analyze complex, high-volume, high-dimensionality data from varying sources.
  • Knowledge of an analysis tool such as Python.
  • Experience working with large data sets on the cloud.

What you’ll receive for the great work you provide:

  • Health Insurance
  • Paid Time Off

NK99

Job Category

Operational Excellence

Required Skills:

Optional Skills:

Flex pays for all costs associated with the application, interview or offer process, a candidate will not be asked for any payment related to these costs.

Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We celebrate diversity and do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

Location

IN Coimbatore SEZ B5

Job Overview
Job Posted:
5 months ago
Job Expires:
Job Type
Full Time

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