Data Scientist with Azure Cloud Expertise

4 dni temu

Warszawa, Mazovia, Polska Square One Resources Sp. z o.o. Pełny etat

Company Overview

Square One Resources Sp. z o.o. is a dynamic and multicultural team of data lovers and practitioners.

Job Description

We are seeking an experienced Data Scientist to join our team, responsible for delivering efficient and high-quality data solutions.

Key Responsibilities:

  • Optimize, standardize, and implement data science and machine learning solutions at scale in cloud-based environments (Azure).
  • Participate in the end-to-end lifecycle of data science projects through the use of DevOps, code, experiment, and model management, CI/CD, and further industry best practices.
  • Write well-designed, testable, and efficient code.
  • Collaborate closely with engineering to continuously improve the way we consume data and deploy models in production.
  • Design and lead on monitoring, troubleshooting, debugging, and incident management for ML pipelines.
  • Be a trusted advisor and evangelist to the team and stakeholders on various aspects of ML Ops, from scaling and throughput, to infrastructure and deployment strategies.

Required Skills and Qualifications:

  • 2+ years of professional experience in ML Ops or ML engineering, particularly in productionizing and scaling ML models.
  • Broad familiarity with Azure cloud environment and Databricks, including its setup and maintenance as an ML platform.
  • Advanced proficiency with Python and SQL in version control systems (git) plus their use in building ML & data pipelines.
  • Proven experience with software development best practices, including testing, continuous integration, and DevOps tools.
  • Good understanding of data science lifecycle and the way data scientists work to deliver value.
  • Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.).
  • Attention to clarity of code, ease of development, and correctness of implementations.
  • Business-ready command of English, written and spoken.
  • Experience in productionizing ML tools involving a user interface, e.g., Dash, Shiny R, Streamlit.
  • Experience in Azure cloud resource setup for purposes of data solutions.
  • Great communication skills to guide audiences of a broad technical knowledge range through complex ML Ops topics.
  • Practice in coaching/mentoring younger team members in your expertise areas.

Benefits:

  • Exciting work in a multi-cultural team of bright minds.
  • Flexible remote work options.
  • Internal training programs and access to external knowledge resources aimed at expanding your skills and competence.
  • Support in building your ML/data ops skills and portfolio through participation and presenting at conferences and events.
  • Opportunities to develop further in our Data Science Hub as well as in the international organization.

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