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CHI Software
Open role>14 days

Data Engineer

CHI Software
Work model
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Experience
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Employment
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Compensation
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Technology signal
10 tags

Technology context

10

Parsed from the vacancy text; ordered by relevance to this role.

AILLMMachine LearningPythonAlgorithmsScalabilityStatisticsPerformance OptimizationSQLPower BI

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Role description

Company Description

The Client is the leading hospitality provider, specializing in the management and operation of upscale hotels, high-end residential projects, luxury casinos, renowned restaurants, and other leisure facilities.

Project Description

We are seeking a skilled Data Scientist to develop and deploy machine learning models that optimize operations, enhance customer experience, and generate actionable business insights across the client's hospitality and leisure portfolio.

Requirements

  • BA or MS in Statistics, Mathematics, Computer Science, or other quantitative field;
  • 3+ years of industry experience delivering and scaling machine learning products both in scope and on time;
  • Strong skills in Python and querying languages (e.g. SQL).Experience in production-level coding with broad knowledge of healthy code practices;
  • Tech Stack:, Microsoft Fabric, Power BI, Dax, Python, MS SQL Server;
  • Excellent business acumen, with proven ability to understand, analyze and problem solve business goals in detail, developing effective solutions with clients;
  • Upper-Intermediate English level.

Responsibilities

  • Design, develop, and maintain data pipelines;
  • Ingest, transform, and model data from multiple sources into the data lakehouse/warehouse;
  • Ensure data integrity, scalability, and performance optimization. Analytics & Reporting;
  • Develop and optimize complex SQL queries to support analytics and reporting;
  • Build and maintain datasets and semantic models for Power BI;
  • Design, implement, and modify advanced Power BI visualizations and dashboards;
  • Partner with stakeholders to deliver accurate and actionable insights. AI & LLM Development;
  • Develop, fine-tune, and maintain large language models for enterprise use cases;
  • Integrate LLM solutions with data assets and reporting environments;
  • Monitor and retrain models as required to maintain performance;
  • Upper-Intermediate English level.

Additional responsibilities

  • Define and lead important initiatives;
  • Work closely with the product and engineering teams to improve data accessibility and efficiency of algorithm iteration;
  • Design and run statistically sound experiments to further uncover predictors of performance.