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BI Data Scientist

Monterrey, Nuevo Leon, Mexico

Applications have closed
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Axented

Our global tech consulting services help scale your business through custom software development, expert team augmentation, and building remote tech teams.

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This role will focus on supporting regional management using the company standard systems to conduct routine and ad hoc analysis, utilizing advanced data analysis techniques.

Requirements

  • Degree in Statistics, Mathematics, Computer Science, and Economics or another quantitative field.
  • Technical competencies required but not limited to statistics, machine learning, databases, Excel, PowerPoint, and programming languages such as Python and SQL.
  • Additional coding experience in JavaScript, .NET, or Java is recommended.
  • 3+ years of experience manipulating data sets and building statistical models.
  • Knowledge and experience in statistical and data mining techniques.
  • Experience querying databases and using statistical computer languages: Python, SQL.
  • Experience using: Azure SQL Server, Azure Storage, Azure Synapse Workspace.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience presenting and using data visualization tools such as Tableau, PowerBI, MicroStrategy, Infogram, and DOMO.
  • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Facebook Insights, Crimson Hexagon preferred, but not required
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, preferred but not required.
  • Experience with healthcare information reporting systems is preferred but not required.
  • Advanced English is a must.


    Responsibilities
  • Work with internal and external team stakeholders to identify opportunities for leveraging internal and external data to drive business solutions.
  • Help create internal database architecture to facilitate data mining and analysis.
  • Develop data models and algorithms for data sets.
  • Use predictive analytics and modeling to optimize revenue and operational efficiencies.
  • Coordinate with different internal and external teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Routine daily, weekly, bi-weekly, and monthly reporting to support management needs for information related to service line utilization, cost, and profitability, and business statistics for volumes.
  • Support the company development of financial/operational information systems development/deployment.
  • Coordinate with other company employees to ensure proper flow and usage of information.
  • Work with multiple departments and people to ensure understanding of and access to data.
  • Understand and define possible benchmarks and KPIs, as well as possible visualizations.
  • Create, transform, and manage data input processes and dashboard design.
  • Design and create a transformation process for data utilizing excel and python or another programming/statistical analysis software.
  • Understand data lake structure, metadata, and data management process flow.
  • Ensure compliance with policies and procedures related

    • Benefits

    Private Health Insurance (Seguro de Gastos Médicos), Paid Time Off, Training & Development, Christmas Bonus (Aguinaldo)

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    * Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

    Tags: Architecture Azure Clustering Computer Science Data analysis Data management Data Mining Data visualization Economics Excel Hadoop JavaScript KPIs Machine Learning Mathematics Power BI Python Spark SQL Statistics Tableau

    Perks/benefits: Career development Health care Salary bonus

    Region: North America
    Country: Mexico
    Job stats:  5  0  0
    Categories: Big Data Jobs Data Science Jobs

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