Flextronics International USA, Inc

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Sr. Data Scientist (Engineering)



Job Posting Start Date 08-15-2025 Job Posting End Date 10-15-2025

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

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 add a/an Sr. Data Scientist located in Austin, TX.

Reporting to the Sr Director, Supply Chain Solutions the Sr. Data Scientist, will be in charge of analyzing, and interpreting large datasets using statistical methods, developing machine learning, predictive/AI models & algorithms to extract meaningful insights, ultimately providing actionable recommendations to businesses to inform strategic decisions and solve complex problems; their key responsibilities include data collection, cleaning, exploration, model building, data visualization, and communicating findings to stakeholders.

What a typical day looks like:

  • Use various analytical techniques including visualization, statistical methods, machine learning/AI to create scalable solutions for business problems.

  • Translate business problems and questions into specific quantitative questions to be answered w/ available data using robust methodologies. In many cases, the data collection at scale will be part of the task and may involve co-work with software development team.

  • Coordinate and perform testing on data quality and solutions.

  • Analyze and extract relevant information from big data to help automate and optimize key processes.

  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.

  • Research and implement applicable machine learning and statistical models/algorithms/approaches.

  • Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings to stakeholders through visual displays of quantitative information.

  • Have working knowledge of developing, implementing and/or connecting to API's

  • Build scalable prototype analytics solutions.

  • Work closely with software development/engineering teams to build model implementations and integrate successful models and algorithms in production systems at scale.

  • Have some experience with AWS. Azure, LLM, GenAI tools

The experience we're looking to add to our team,

  • Master's Degree + 2-4 years of experience (OR) PhD + 0-2 years of experience

  • Degrees can be in Engineering, Mathematics, Data Science, Operations Research, Statistics

  • Completion of reputable online courses in data science, statistics, programming will be considered as a substitute for educational requirements from traditional universities.

  • Knowledge of analytical techniques including visualization, statistical methods, building machine learning/AI models

  • Proficiency in languages like Python, R, SQL for data manipulation and analysis

  • Knowledge of supervised and unsupervised learning algorithms, including regression, classification, and clustering

  • Collaborate with product design, software, engineering, and business teams to develop an understanding of needs.

  • Define standards for data completeness and accuracy for specific use cases.

  • Build scalable prototype analytics solutions.

  • Ability to effectively communicate complex technical concepts to non-technical audiences.

  • Work closely with software development/engineering teams to build model implementations and integrate successful models and algorithms in production systems at scale.

  • Create, deploy, connect to API's.

  • Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings to stakeholders.

  • Can summarize analytics findings in both short form(ppt) and long form (detailed write-up in word/pdf) formats for various consumers and stakeholders including executive management.

  • Ability to communicate clearly in both oral, written form with teammates and colleagues.

Here are a few of our preferred experiences:

  • Have some experience with AWS, Azure, LLM's, GenAI tools

  • Project ownership/management experience

  • Knowledge and experience in manufacturing and/or supply chain

PF38

#LI-PF1

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

  • Full range of medical, dental, and vision plans
  • Life Insurance
  • Short-term and Long-term Disability
  • Matching 401(k) Contributions
  • Vacation and Paid Sick Time
  • Tuition Reimbursement

Job Category

Operational Excellence

Is Sponsorship Available?

No

Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We 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). Apply
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