Euronext logo

Senior Data Scientist

Euronext

Role Overview

As a Senior Data Scientist at Euronext, you will be at the forefront of analyzing complex datasets and developing predictive models that drive strategic decision-making across the company. This role is crucial for enhancing our data-driven culture and ensuring that our data strategies align with our business objectives.

Responsibilities

  • Lead and manage data science projects from concept to deployment.
  • Build and maintain the data platform, including the pipeline, documentation, dictionary, and critical support processes.
  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
  • Develop, test, and implement advanced machine learning models and algorithms.
  • Gather, extract, and compile data across sources using tools like SQL, R, and Python.
  • Format, re-structure, and validate data to ensure quality.
  • Develop data visualizations and socialize dashboards, reports, and other tools to enable self-serve data analysis.
  • Mentor other data engineers and promote software craftsmanship within the team.
  • Partner with other data scientists across the company to share knowledge and synthesize learnings.

Key Accountabilities

  • Own the process of gathering, extracting, and compiling data across sources.
  • Independently format, re-structure, and validate data to ensure quality.
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data.
  • Develop strategies for our products based on data-driven insights.

Skills and Experience Required

  • Bachelor's or Master's degree in Data Science, Computer Science, or a related field.
  • Minimum 5+ years of experience in data science, database administration, or a related field.
  • Excellent understanding of relational and NoSQL databases, performance tuning, and database optimization.
  • Expertise in data integration techniques, including ETL processes, data pipelines, and data synchronization.
  • Strong expertise in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Proven hands-on programming skills in Python, R, or similar languages.
  • Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
  • Experience with big data technologies like Hadoop, Spark, and cloud platforms like AWS, Azure, and Google Cloud.

Euronext Values

  • Unity: We respect and value the people we work with. We are unified through a common purpose and embrace diversity and inclusion.
  • Integrity: We value transparency, communicate honestly, and act with integrity.
  • Agility: We are adaptable, responsive, and embrace change.
  • Energy: We are driven to make a difference and challenge the status quo.
  • Accountability: We deliver maximum value to our customers and stakeholders and take ownership of outcomes.

Benefits
Extracted with AI

  • Health insurance
  • Paid vacation
  • Remote work options
  • Professional development opportunities

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