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(CEN) GLOBAL DATA SCIENCE INTERN at CEMEX Const Mtl South LLC
, Nuevo León, Mexico -
Full Time

Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

0.0

Posted On

04 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, SQL, Databricks, Snowflake, R, Tableau, PowerBI, Machine Learning, Artificial Intelligence, Data Visualization, Statistical Hypothesis Testing, Feature Engineering, Exploratory Data Analysis, Storytelling With Data, Problem Solving, Teamwork

Industry

Wholesale Building Materials

Description
Semester(s): 5th – 10th semester Degree(s): ITC, Mathematics, Data Science, Actuarial Science, Industrial Physics, Mechatronics Tentative Start Date (month): November 2025 Project Objective Support the Global Data Science team in the phases of problem exploration and definition of descriptive, predictive, and prescriptive models, as well as in visualization tools and model consumption. Also, provide support in data and model validati Challenges for the Student Understand business needs Generate value through exploratory data analysis Work in a team and be results-oriented Use the technology stack used at CEMEX for data science (Jira, Python, SQL, Databricks, Snowflake) Main Responsibilities and Activities Identify and map data sources and develop queries Process data and conduct exploratory data analysis using visualization dashboards Formulate hypotheses, design experiments, and develop statistical validation tests Perform feature engineering Develop prediction or prescription models using Machine Learning or other Artificial Intelligence techniques Validate and improve models Required Skills, Competencies, and Knowledge Programming in scripting languages such as R or Python (preferably Python) Familiarity with visualization dashboards such as Tableau or PowerBI Desirable knowledge of CSS, HTML, Snowflake Teamwork Storytelling with data (visualizations, statistical hypothesis testing) Problem-solving orientation

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Responsibilities
Support the Global Data Science team in developing descriptive, predictive, and prescriptive models and visualization tools. Responsibilities include mapping data sources, performing exploratory data analysis, and validating AI/ML models.