Data Scientist -Generative AI, LLM @ Remote , Mexico and Argentina

E IT; Mexico; On-site; MXN 320,000 - 520,000; Full time

Job summary

E IT in Mexico City is seeking an analytics professional to transform complex data into actionable insights. You will work on data cleansing, feature engineering, and deploying predictive models that scale with business needs.

Collaborate with engineers to push prototypes to production, and communicate findings to stakeholders to drive data-driven decisions.

Qualifications

• Bachelor's degree or equivalent in quantitative field
• 1–2 years' experience in quantitative analytics or data modeling
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques
• Fluency in programming languages (Python, C, C++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements

Skills

Data analytics

Predictive modeling

Programming languages

Big Data tools

Education

Bachelor’s degree or equivalent

Tools

Cassandra

Hadoop

Spark

Tableau

Job description

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements

Qualifications

• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 1 - 2 years' of experience in quantitative analytics or data modeling
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, C,C++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)