Data Scientist: Fast-Paced AI & Data Engineering in TX

Nestle; McKinney (TX); On-site; USD 83,000 - 123,000; Part time

Job summary

Nestle in McKinney, TX is seeking a Data Scientist intern/mid-level candidate to optimize the data processing stack and refactor legacy code. You will own the technology outcomes with substantial support from a Nestle team that backs you.

Expect hands-on work, coaching, and a respectful schedule that values weekends in TX. The role emphasizes data mining, NLP, and scalable reasoning, with projects spanning Airflow, Spark, and XGBoost.

Qualifications

• At least 4 years of real-world data science or engineering experience.
• Experience with XGBoost, Airflow, and NLP.
• Strong collaboration and communication skills.
• Ability to refactor legacy code and reduce technical debt.
• Experience with model deployment and building runbooks.

Responsibilities

• Shave milliseconds off the technology hot path that Nestle users feel every click.
• Pair-program tricky Apache Spark edge cases with engineers across McKinney, TX.
• Ship the data mining rewrite that reduces Nestle's technical debt.
• Profile and refactor legacy code to reduce technical debt over time.
• Hand off R runbooks so the next on-call at Nestle rests better.
• Trace a flat-and-fast tech bug across three XGBoost services to the single bad line.

Skills

Airflow

XGBoost

NLP

Public Speaking

Attention to detail

Tools

Apache Spark

Job description

Nestle in McKinney, TX is seeking a Data Scientist intern/mid-level candidate to optimize the data processing stack and refactor legacy code. You will own the technology outcomes with substantial support from a Nestle team that backs you.

Expect hands-on work, coaching, and a respectful schedule that values weekends in TX. The role emphasizes data mining, NLP, and scalable reasoning, with projects spanning Airflow, Spark, and XGBoost.