Data Scientist, Global Growth

United States Digital Space LLC; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

United States Digital Space LLC is seeking a Data Scientist to partner with Global Growth teams. You will design and ship experiments, analyze data, and build models to improve onboarding and user funnel performance across regions.

Bring expertise in SQL, Python/R, and AI tooling to deliver measurable impact, with collaboration across product, marketing, and engineering teams.

Qualifications

• Bachelor's + 8 years or Master's + 6 years or PhD + 3 years of data science or quantitative modeling experience
• Proficiency in SQL and Python or R
• Experience working with cross-functional teams to deliver results
• Strong ability to communicate results and drive impact
• Strong business acumen and ability to synthesize analyses into actionable recommendations
• Proficiency with AI tools to accelerate model development and analysis

Responsibilities

• Design and ship experiments across Global Growth teams
• Identify improvement opportunities across the company.com and dashboards
• Understand, grow, and optimize the self-serve user funnel for a high-quality onboarding experience worldwide
• Apply machine learning, statistical modeling, causal inference, optimization, experimentation, and analytics to drive decisions

Skills

SQL

Python

R

Cross-functional collaboration

Result communication

Impact-driven

AI tools proficiency

Education

Data science / quantitative modeling degree (Bachelor 8y / Master 6y / PhD 3y)

Tools

Spark

Hadoop

Job description

Who we are

About the company

the company is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use the company to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Our Data Science team partners deeply with teams across the company to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across the company and will seek to align you to the most relevant team based on your background.

What you’ll do

We’re looking for a Data Scientist to partner with our Global Growth teams. You’ll play a key role in designing and shipping experiments, as well as identifying improvement opportunities across the company.com and the dashboard to help businesses worldwide get started on the company. You’ll help us understand, grow, and optimize the self-serve user funnel to ensure a consistently high-quality onboarding experience for users globally. As Data Scientists at the company, our mission is to ensure that company strategy, products, and user interactions make smart use of our rich data using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• Bachelors + 8 years or Masters + 6 years or Phd + 3 years of data science or quantitative modeling experience
• Proficiency in SQL and a computing language such as Python or R
• Experience in working with cross-functional teams to deliver results
• Ability to communicate results clearly and a focus on driving impactA demonstrated ability to manage and deliver on multiple projects with a high attention to detail
• Strong business acumen and experience in synthesizing complex analyses into actionable recommendations
• Proficiency with AI tools to accelerate model development, analysis, and coding

Preferred qualifications

• Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and experimentation
• Experience deploying models in production and adjusting model thresholds to improve performance
• Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
• A builder's mindset with a willingness to question assumptions and conventional wisdom
• Experience with distributed tools such as Spark, Hadoop, etc.
• A PhD or MSc in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)