Customer Data Scientist (Statsig)

United States Digital Space LLC; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

United States Digital Space LLC is seeking a Customer Data Scientist based in Singapore. This role focuses on helping product and engineering teams evaluate and scale experimentation programs using data-driven insights. You will work closely with sales and engineering teams to influence product development based on customer needs.

The ideal candidate should have at least 5 years experience in Data Science or related fields, along with strong skills in SQL and Python. Familiarity with experimentation platforms is a plus.

Qualifications

• 5+ years of experience in Data Science, Experimentation, Analytics, or related fields.
• Hands‑on experience with A/B testing and advanced experimentation methodologies.
• Strong proficiency in SQL and Python.

Responsibilities

• Serve as the primary experimentation expert throughout customer evaluations.
• Partner directly with data scientists, engineers, and leaders on experiment design.
• Educate teams on best practices in experimentation and results interpretation.

Skills

Experimentation program management

Statistical analysis

SQL proficiency

Python programming

Tools

Statsig

Eppo

Optimizely

LaunchDarkly

Job description

About The Role & Team

the company is on a mission to help companies build better products through data. Following our acquisition of Statsig, we now offer one of the most comprehensive experimentation and product analytics platforms on the market. As a Customer Data Scientist, supporting the APJ Region, you will combine deep experimentation expertise, applied statistics, and customer-facing technical consulting to help some of the world's most sophisticated product and engineering organizations evaluate, adopt, and scale modern experimentation programs.

This is a highly strategic and technical role that partners closely with Sales, Solutions Engineering, Product, and Engineering teams. You will serve as the trusted expert on experimentation methodology, statistical rigor, and experimentation infrastructure, helping customers solve complex challenges while influencing the future direction of the company and Statsig platforms.

As an Customer Data Scientist, you will:

• Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept.
• Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture.
• Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance reduction, and results interpretation.
• Collaborate closely with Account Executives, Solutions Engineers, Product Managers, and Engineers to accelerate customer success and bring valuable field insights back into product development.
• Create repeatable frameworks, technical content, and enablement materials that strengthen experimentation expertise across customers and internal teams.

You’ll be a great addition to the team if you have:

• You have built, scaled, or supported experimentation programs within a product-led technology company and understand both the technical and organizational challenges involved.
• You have experience working with experimentation platforms such as Statsig, Eppo, Optimizely, LaunchDarkly, or similar technologies.
• You are comfortable engaging with highly technical audiences and can effectively communicate complex statistical concepts to data scientists, engineers, executives, and business stakeholders.
• You enjoy translating technical depth into practical business outcomes and helping organizations make better product decisions through experimentation.
• You have experience influencing product strategy, technical roadmaps, or best practices based on customer needs and market feedback.

At a minimum, you need to have:

• 5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field with a strong foundation in experimental design and causal inference.
• Hands‑on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance reduction, holdouts, sequential testing, or related techniques.
• Strong proficiency in SQL and python and experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
• Experience using Python or R for statistical analysis, experimentation, and data modeling.
• Experience working directly with customers, stakeholders, or cross‑functional partners to solve complex technical challenges and communicate sophisticated concepts effectively.
• You are willing and able to travel approximately 10-25% of the time to meet with customers, support strategic engagements, and participate in team and industry events.