Data Science Graduate (Global Payment) - 2027 Start

PIPO RESOURCE (SG) PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Yoga and fitness

Positive team atmosphere

Career growth

Paid leave

Flat organization

Competitive compensation

Flexible hours

Job summary

ByteDance is seeking a data analytics professional to take charge of analytics for payment and financial segments across global TikTok businesses, including e-commerce, live streaming and advertising.

You will identify growth drivers via rigorous quantitative and qualitative analyses and design metric frameworks to guide strategy and operational improvements. Proficiency in SQL and Python or R is essential.

Qualifications

• Strong foundation in mathematical statistics; proficient in theory of statistics, causal inference, ML and big data technologies.
• Proficient in SQL; skilled in at least one programming tool among Python and R.

Responsibilities

• Take charge of data analytics for payment and financial segments of global payment business, and conduct in-depth analysis on transactions and financial metrics for TikTok’s core businesses including e-commerce, live streaming and advertising.
• Identify growth drivers through qualitative and quantitative analysis and deliver optimization recommendations.
• Design core metric frameworks aligned with business value chain and guide model iteration and operational strategies.
• Evaluate operational strategies with experimental analysis, causal inference and statistical modeling to boost revenue and decision-making efficiency.
• Explore the application of LLMs in data analytics, including user behavior analysis, segmentation and profitability analysis.

Skills

SQL

Python

R

Education

Bachelor’s degree or above in quantitative analysis-related disciplines

Job description

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job highlights

• Yoga and fitness
• Positive team atmosphere
• Career growth opportunity
• Paid leave
• Flat organization
• 100+ mil users
• Industry experts
• Competitive compensation
• Flexible hours

Responsibilities

Take charge of data analytics for payment and financial segments of global payment business, and conduct in-depth analysis on transactions and financial metrics for TikTok’s core businesses including e-commerce, live streaming and advertising.

• Opportunity Identification: Gain in-depth insights into user behaviors, deliver optimization recommendations via qualitative and quantitative analysis to identify new growth drivers for the business.
• Metric System Development: Design core metric frameworks aligned with the business value chain, align team objectives and unified measurement standards, and guide the iteration of models and operational strategies.
• Business Improvement Enablement: Evaluate operational strategies with experimental analysis, causal inference and statistical modeling, drive strategy optimization to boost business revenue and decision-making efficiency.
• Agentic Recommendation System: Explore the application of LLMs in data analytics, covering user behavior analysis, crowd segmentation, customer acquisition analysis, growth analytics and profitability analysis, and advance the implementation of the new paradigm of Agentic Data Analysis.
• AI for Data Science: Build AI-powered capabilities for data science teams. Leverage LLMs and Agents to construct automated tools for anomaly attribution, experiment analysis and insight generation; accumulate reusable data science toolkits and standardized analysis frameworks, and build an AI-driven data science team.

Qualifications

Minimum Qualifications

• Bachelor’s degree or above in quantitative analysis-related disciplines, including Mathematics, Statistics, Operations Research, Data Science, Computer Science, Economics and Business Analytics.
• Solid foundation in mathematical statistics; proficient in theoretical knowledge of statistics, causal inference, machine learning and big data technologies.
• Skilled in SQL; proficient in at least one programming tool among Python and R.

Preferred Qualifications

• Rigorous logical thinking, strong problem-solving skills, excellent communication and cross-team collaboration capabilities, and passion for tackling challenging business problems.
• Solid understanding and hands-on application experience of AI technologies; candidates with proven track records of deploying AI solutions in data analytics scenarios are preferred.