Data Scientist

Collect, extract, and integrate data from various sources, including databases, REST APIs, files, and external data sources.

Validate data quality and identify inconsistencies, errors, and missing values.

Clean, process, and prepare structured and unstructured data for analysis and modeling.

Design, develop, and maintain data pipelines.

Develop and improve AI and LLM-based pipelines, including prompt engineering, agent workflows, and AI automations.

Design and maintain data orchestration workflows and improve their reliability and monitoring.

Build and maintain analytical dashboards and reports.

Document data structures, SQL tables, dashboards, and data-related processes.

Programming and Data Analysis

Python (required)

SQL

Pandas

NumPy

Scikit-learn

Data Visualization

Machine Learning and AI

Understanding of Machine Learning concepts

Supervised and Unsupervised Learning

Regression and Classification problems

Feature Engineering and Model Evaluation

Familiarity with common Machine Learning algorithms such as Decision Trees, XGBoost

Familiarity with Neural Networks and Deep Learning concepts is a plus.

Strong verbal and written English skills are required.

Talented candidates without prior work experience are also encouraged to apply.

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