Algorithm Engineer

Bybit; Alió; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company in the blockchain industry is seeking a Data Scientist. This role involves developing machine learning models to enhance business security and fighting against fraud. Candidates with a Master's or PhD in relevant fields are preferred, along with strong programming skills and a proven record in data-related competitions will be highly regarded. This position offers an opportunity to contribute to innovative security solutions in a thriving sector.

Formación

• Proficient in data mining, statistical learning, and deep learning algorithms.
• Strong coding skills in Python, Scala, or similar languages.
• Experience in at least one complete algorithmic modeling project.

Responsabilidades

• Conduct data exploration and statistical analysis.
• Develop anti-cheating and anti-fraud technologies.
• Collaborate with teams to deploy models and drive innovation in blockchain risk control.

Conocimientos

Data mining

Statistical learning

Deep learning

Python

Scala

Educación

Master’s/Ph.D. in Computer Science, Mathematics, Statistics, Information Science, or related field

Descripción del empleo

Job description

Job Description

• Conduct data exploration and statistical analysis based on a deep understanding of business processes, and develop machine learning models to detect various business threats.
• Develop anti-cheating, anti-fraud, and adversarial technologies using data mining, machine learning, deep learning, and unsupervised learning techniques to address business security issues.
• Collaborate with product and technical teams to deploy models, ensuring continuous maintenance, iterative optimization, and product upgrades.
• Drive algorithmic innovation, becoming an industry leader in blockchain risk control by working on areas such as on-chain graph mining, knowledge graphs, and adversarial game theory.

Requirements

• Master’s/Ph.D. candidates in Computer Science, Mathematics, Statistics, Information Science, or a related field.
• Proficient in data mining, statistical learning, and deep learning algorithms, with experience in at least one machine learning platform.
• Skilled in Python, Scala, or similar programming languages, with strong coding skills and experience in at least one complete algorithmic modeling project.
• Highly data-sensitive, self-driven in research, interested in security and risk control, and possesses strong communication and collaboration skills.

Preferred Qualifications:

• Published papers in CCF B or higher conferences or journals.
• Top 1% placement in modeling competitions, such as Alibaba Tianchi, Alibaba AI Security Contest, Kaggle, or KDD competitions.
• Experience with open-source contributions, with a demonstrated influence and innovativeness in the field.

Job Description

• Conduct data exploration and statistical analysis based on a deep understanding of business processes, and develop machine learning models to detect various business threats.
• Develop anti-cheating, anti-fraud, and adversarial technologies using data mining, machine learning, deep learning, and unsupervised learning techniques to address business security issues.
• Collaborate with product and technical teams to deploy models, ensuring continuous maintenance, iterative optimization, and product upgrades.
• Drive algorithmic innovation, becoming an industry leader in blockchain risk control by working on areas such as on-chain graph mining, knowledge graphs, and adversarial game theory.

Requirements

• Master’s/Ph.D. candidates in Computer Science, Mathematics, Statistics, Information Science, or a related field.
• Proficient in data mining, statistical learning, and deep learning algorithms, with experience in at least one machine learning platform.
• Skilled in Python, Scala, or similar programming languages, with strong coding skills and experience in at least one complete algorithmic modeling project.
• Highly data-sensitive, self-driven in research, interested in security and risk control, and possesses strong communication and collaboration skills.

Preferred Qualifications:

• Published papers in CCF B or higher conferences or journals.
• Top 1% placement in modeling competitions, such as Alibaba Tianchi, Alibaba AI Security Contest, Kaggle, or KDD competitions.
• Experience with open-source contributions, with a demonstrated influence and innovativeness in the field.