Data Scientist, Market Growth Lifecycle

Binance; Auckland; On-site; NZD 100,000 - 130,000; Full time

Job summary

A leading blockchain ecosystem in Auckland is seeking an experienced professional to develop and optimize core algorithmic models in marketing. Responsibilities include creating precision marketing models, validating performance through A/B testing, and collaborating with data and product teams. The ideal candidate has over 3 years of experience in algorithm and programming, with a Master's degree in a relevant field. This role offers competitive salary and flexible work arrangements.

Benefits

Competitive salary

Company benefits

Work-from-home arrangement

Qualifications

• At least 3 years of experience in related fields, with a solid foundation in algorithms and programming.
• Proficient in at least one programming language such as Python, Scala, or Java.
• Strong understanding of machine learning algorithms and commonly used models in marketing scenarios.

Responsibilities

• Responsible for core algorithm models in marketing scenarios.
• Build precision marketing models based on user profiles and real-time behavioral data.
• Design data-driven algorithm strategies for user lifecycle management.

Skills

Algorithms

Programming

Machine Learning

Data Analysis

Statistical Modelling

Education

Master’s Degree in Computer Science or related field

Tools

Python

Hadoop

Spark

TensorFlow

SQL

Job description

About the Role

In this role, you will be responsible for developing and optimising core algorithmic models in marketing scenarios, including user behaviour prediction, profiling, ROI estimation, and traffic allocation strategies. You will design and build precision marketing models such as CTR/CVR prediction, LTV forecasting, and channel attribution analysis, leveraging user profiles, real-time behavioural data, and business objectives. A key part of the role will be creating data-driven strategies for user acquisition, retention, and repurchase, while continuously validating and improving performance through A/B testing, causal inference, and attribution analysis. You will collaborate closely with data, product, and operations teams to ensure these algorithms are effectively deployed within Binance’s marketing systems to drive measurable growth.

Responsibilities

• Responsible for core algorithm models in marketing scenarios, including but not limited to user behavior prediction, user profiling, ROI estimation, and traffic allocation strategies, to improve marketing efficiency and conversion rates.
• Build precision marketing models (such as CTR/CVR prediction, LTV forecasting, marketing channel attribution analysis, etc.) based on user profiles, real-time behavioral data, and business objectives.
• Design data-driven algorithm strategies for user lifecycle management (acquisition, retention, repurchase) to optimize user growth and operational performance.
• Deeply understand business needs and continuously track algorithm performance; validate and optimize models through A/B testing, causal inference, and attribution analysis, ensuring ongoing iteration and business impact.
• Collaborate closely with data, product, and operations teams to drive the implementation of algorithms in marketing systems (e.g., user growth initiatives).

Requirements

• At least 3 years of experience in related fields, with a solid foundation in algorithms and programming.
• Master’s Degree or above in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related disciplines.
• Proficient in at least one programming language such as Python, Scala, or Java; familiar with big data processing frameworks like Hadoop, Spark, or Flink.
• Strong understanding of machine learning algorithms (e.g., LR, GBDT, DNN), commonly used models in marketing scenarios (e.g., Uplift Model, Lookalike), and tools such as TensorFlow or PyTorch.
• Familiar with SQL/Hive and experienced in large-scale data cleaning, feature engineering, and model tuning.
• Deep understanding of user growth, ad placement, and e-commerce marketing scenarios, with the ability to design algorithm solutions aligned with business goals.
• Clear logical thinking, ability to work independently, and strong team collaboration and communication skills.

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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