Overview
Mid-level Data Scientist role focused on building analytical, statistical, machine learning, and applied AI solutions for business and client use cases.
What you'll do
- Lead development of analytical, statistical, machine learning, and applied AI solutions for business and client use cases.
- Translate business questions into structured analytical approaches, modeling strategies, hypotheses, and measurable outputs.
- Design and execute analyses and models for use cases such as segmentation, forecasting, propensity modeling, anomaly detection, experimentation analysis, and recommendations.
- Work with structured, semi-structured, and selected unstructured datasets to derive insights and business-relevant solutions.
- Build, refine, and maintain notebook-based workflows and reproducible analytical assets in Databricks and other cloud environments.
- Support evaluation and practical application of LLM-enabled or AI-assisted workflows in business analysis and decision support.
What you'll need
- 3+ years of experience.
- Strong working knowledge of statistics, probability, machine learning, and analytical problem solving.
- Ability to independently manage recurring data science workstreams with minimal oversight.
- Strong understanding of supervised and unsupervised learning approaches, feature engineering, and model evaluation.
- Ability to work effectively with structured, semi-structured, and selected unstructured datasets.
- Working knowledge of experimentation design and model validation.
- Strong familiarity with notebook-based development and collaborative data science workflows, including Databricks.
Details
- Location: Mexico - Remote.
Read the full description and apply on the company’s own careers page.
NewPosted this week
