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Data Analyst (LATAM)

Binance

Coufouleux

Sur place

EUR 50 000 - 70 000

Plein temps

Il y a 30+ jours

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Résumé du poste

A leading cryptocurrency exchange in France is seeking a Data Scientist to analyze large datasets and develop machine learning models. This role requires a degree in a quantitative field and 3-5 years of relevant experience. The ideal candidate will thrive in a fast-paced environment and possess strong analytical skills. The company offers a competitive salary and work-from-home options.

Prestations

Competitive salary
Opportunities for career growth
Work-from-home arrangement

Qualifications

  • 3-5 years experience in Analytics or Data Science role.
  • Self-driven team player with quick learning ability.
  • Natural curiosity to explain data trends simply.

Responsabilités

  • Interpret large volumes of transactional and operational data.
  • Translate findings into simple visualizations for teams.
  • Work in a fast-paced environment critical to time to market.

Connaissances

Data analysis
Machine learning
Data visualization
Analytical thinking
Programming

Formation

Degree in a quantitative discipline

Outils

R
Tableau
SQL
Python
Description du poste

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities
  • Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments
  • Analyse and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
  • Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
  • Be part of a fast-paced industry and organisation where time to market is critical
Requirements
  • Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
  • 3-5 years of full-time work experience in an Analytics or Data Science role
  • A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
  • A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communication
  • Prior internal/client-facing consulting/business transformation experience preferred.
  • A passion for Emerging Technologies related to Blockchain, Machine Learning and AI
Competency
  • An analytical software (e.g. R, SAS)
  • A data visualisation tool (e.g. Qlikview, Tableau, PowerBI)
  • A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
  • Programming (e.g. VBA, C++, Java, Python)
Why Binance
  • Shape the future with the world’s leading blockchain ecosystem
  • Collaborate with world-class talent in a user-centric global organization with a flat structure
  • Tackle unique, fast-paced projects with autonomy in an innovative environment
  • Thrive in a results-driven workplace with opportunities for career growth and continuous learning
  • Competitive salary and company benefits
  • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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