
Multinational telecom company.
Machine Learning Specialist / Data Scientist at AT&T
About the role
AT&T connects more than 100 million people across North America every day. Our network infrastructure is one of the largest in the world, and behind it is a global technology organization solving problems at massive scale. Our Mexico City team will be a critical part of that engine—building the data platforms and financial systems that keep one of the world’s largest telecommunications companies running.
AT&T is seeking a Machine Learning Specialist / Data Scientist based in Mexico City. In this role, you will join the Finance Commissions team and design intelligent solutions that ensure sales compensation accuracy in AT&T’s U.S. domestic operations. You’ll work at the intersection of machine learning, data engineering, and finance: building anomaly detection and data validation models, integrating them into Databricks pipelines, and translating complex business rules into automated solutions powered by multiple data sources.
Sales commissions are not an academic exercise. When your models detect an anomaly, they protect the payroll of thousands of AT&T sales professionals. When they don’t, the impact is real. This is applied machine learning where accuracy matters every day.
What You Will Do:
- Identify, train, and deploy appropriate ML models for anomaly detection and data validation in the commissions process
- Integrate models into Databricks pipelines and automate model retraining and monitoring
- Analyze historical data from upstream systems to identify patterns, trends, and potential issues
- Collaborate with data engineers to ensure data quality and pipeline efficiency
- Document solutions and present findings to technical and business teams
What You Will Need:
- Strong Python skills (scikit-learn, pandas, numpy), Py Spark, and Databricks ML
- Experience working with multi-source data environments and Trino (Presto) connectivity
- Experience with MLflow or similar model management tools
- Knowledge of anomaly detection techniques and statistical methods
- Familiarity with financial or commissions data is a plus
- Strong data visualization and communication skills
What You Will Bring:
- Bachelor’s or Master´s Degree in Computer Science, Data Science, Statistics, or a related field
- 2+ years of experience in ML engineering or data science
- Advanced conversational English is required. You’ll collaborate daily with U.S.-based stakeholders in finance and engineering.
- The role is based in Mexico City. No relocation is offered. This position is hybrid; you may be expected to go into the office 3 days per week.
Why Join Us?
Our Mexico City office is home to a growing technology hub where you will work directly with teams in the United States on systems that operate at nationwide scale. You’ll have access to modern tools, real responsibility for production models, and the backing of a Fortune 500 company investing heavily in its data and artificial intelligence infrastructure.
- High-impact work: your models directly protect the accuracy of compensation for thousands of U.S. sales professionals
- Modern stack: Databricks ML, MLflow, Py Spark, Trino—applied machine learning in production, not experimental projects
- Cross-border collaboration with finance and engineering teams in the United States
- Professional growth within one of the world’s largest technology and telecommunications companies
- Competitive compensation and benefits package
Our Machine Learning Specialist / Data Scientist earns between $62,666 – $94,000 MXN gross monthly. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on experience, expertise, and education/training.
Joining Our Team Comes with Amazing Perks and Benefits:
- Life Insurance
- Major Medical Expenses
- Monthly Grocery Vouchers: MXN $3,146
- Monthly Restaurant Vouchers: MXN $2,517
- Savings Fund
- 30 days of Christmas Bonus
- Employee discounts up to 50% off on eligible AT&T mobility plans and accessories
Ready to join our team? Apply today!Weekly Hours:
40
Time Type:
Regular
Location:
Naucalpan De Juarez, Estado de Mexico, Mexico
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
Required skills
Machine learning
Data science
Anomaly detection
Data validation
Data analysis
Databricks
Data engineering
Finance domain knowledge
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About AT&T

AT&T
PublicAT&T Inc., an abbreviation of its predecessor's original name, the American Telephone and Telegraph Company, is an American multinational telecommunications company headquartered at the Whitacre Tower in Downtown Dallas, Texas.
10,001+
Employees
Dallas
Headquarters
$186.83B
Valuation
Reviews
10 reviews
3.4
10 reviews
Work-life balance
3.2
Compensation
3.5
Culture
3.8
Career
2.5
Management
2.3
65%
Recommend to a friend
Pros
Good benefits and health coverage
Flexible hours and work-life balance
Good pay and job security
Cons
Poor management and lack of direction
Limited career advancement opportunities
High stress levels
Salary Ranges
38 data points
Associate Director
Junior/L3
L6
Principal/L7
Senior/L5
Staff/L6
Senior
Director
L3
L4
L5
Associate Director · ASSOC DIRECTOR - DATA SCIENCE
1 reports
$271,180
total per year
Base
$208,600
Stock
-
Bonus
-
$271,180
$271,180
Interview experience
6 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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