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Senior Data Scientist

hace 2 meses


Guadalajara, Jalisco, México Brillio A tiempo completo

Unlock the Power of Data Science with Brillio

Are you a seasoned data scientist with a passion for Microsoft technologies? Do you excel at turning complex data into actionable insights? If so, we invite you to join our innovative team at Brillio.

Why You'll Thrive with Us:

At Brillio, we're at the forefront of leveraging cutting-edge data analytics and machine learning to drive strategic business decisions. Here's your chance to make a significant impact using the full suite of Microsoft tools and platforms. Join us and be a part of a dynamic, forward-thinking environment where your expertise will help shape the future.

Key Responsibilities:

  • Drive Business Growth with Advanced Analytics: Apply your expertise in Microsoft technologies to conduct sophisticated data analysis and interpretation, pushing the boundaries of what's possible.
  • Collaborate and Create Solutions: Partner with cross-functional teams to understand business needs and develop data-driven solutions using Microsoft tools and platforms.
  • Build and Implement Models: Develop and deploy machine learning models and algorithms using Azure Machine Learning or similar platforms to solve real-world problems.
  • Visualize Data Insights: Utilize Power BI to create compelling dashboards and reports that tell a story and drive decision-making.
  • Optimize Data Management: Work with SQL Server and other Microsoft database technologies to ensure efficient data manipulation and storage.
  • Stay Ahead of the Curve: Keep up-to-date with the latest updates and features in Microsoft's data and analytics offerings, bringing fresh ideas to the table.
  • Enhance Business Processes: Contribute to the development and maintenance of data science processes and workflows within the Microsoft ecosystem.

Requirements:

  • Educational Background: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • Experience: Proven track record as a Data Scientist with a focus on Microsoft technologies.
  • Technical Skills: Proficiency in Microsoft Azure, Power BI, and SQL Server for data analysis and modeling. Strong programming skills in languages such as Python or R.
  • Machine Learning Expertise: Experience in deploying and managing machine learning models on Azure.
  • Business Acumen: Ability to translate business requirements into user-friendly data models, making complex insights accessible to all stakeholders.
  • Communication & Collaboration: Excellent communication skills with the ability to convey complex insights to non-technical stakeholders effectively.