About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
About the Role
We are looking for a Senior Data Scientist - Experimentation & Causal Inference to serve as the statistical brain behind our rapidly growing experimentation program. You will own the methodology layer that ensures every experiment we run is trustworthy, sensitive, and correctly interpreted.
You will NOT be building infrastructure or writing backend services — our platform engineering team handles that. Your job is to design, validate, and continuously improve the statistical frameworks that sit on top of the platform. You will be the person the team turns to when they ask "Can we trust this result?" — and you will build the automated systems that answer that question before anyone needs to ask.
Team context: You will join a team of data scientists and platform engineers within the Big Data group, reporting to the Head of Big Data. The experimentation platform engineering team implements your specifications into production systems.
Resposibilities:
Core Mandate
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Guardrail Metrics & SRM Detection
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Design and maintain automated anomaly detection for live experiments — including Sample Ratio Mismatch (SRM) checks and traffic split validation.
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Define alerting thresholds and circuit-breaking criteria so compromised experiments are flagged or stopped before polluting decisions.
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Define and validate guardrail metrics (sensitivity, directionality, interpretability) that protect the business during every experiment.
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Variance Reduction & Sensitivity
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Implement and iterate on CUPED and related pre-experiment covariate adjustment methods to reduce metric variance.
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Develop techniques to remove noise from user historical behavior, enabling faster detection of true treatment effects — especially in limited-traffic or high-priority scenarios.
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Example of impact we are targeting: Shorten average experiment duration from 14 days to 9 days, unlocking 40%+ more experiments per quarter.
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Continuous A/A Experiment Monitoring
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Design and run continuous A/A experiments as an always-on health check for the data pipeline (from client-side event reporting through message queues to the real-time data warehouse).
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Monitor metric baseline volatility and pipeline stability, ensuring the instrumentation layer remains trustworthy over time. You define what "healthy" looks like; the platform team implements the monitoring infrastructure.
Additional Responsibilities
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Partner with product, engineering, and growth teams on experiment design: sample size calculations, metric selection, duration estimation, and result interpretation. Advise on causal inference methods (DID, synthetic control, RDD) when randomization is not feasible.
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Translate your methods into specifications, validation scripts, and decision frameworks that the team can operationalize — enabling experiment owners to self-serve while maintaining rigor.
Requirements
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Education: MS or PhD in Statistics, Biostatistics, Economics (Econometrics), Computer Science, or a related quantitative field.
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Experience: 3+ years of industry experience designing and analyzing online controlled experiments at a tech company with meaningful user scale (not exclusively survey experiments or clinical trials).
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Core Statistical Knowledge: Solid foundations in hypothesis testing, power analysis, multiple testing correction, and sequential testing. Hands-on experience with at least two of: variance reduction methods (CUPED or similar), sample ratio mismatch detection, or continuous data quality monitoring for experiments.
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Programming: Proficient in Python (scipy, statsmodels, or equivalent) for statistical analysis and simulation. Comfortable writing complex SQL (window functions, CTEs) for data extraction and validation.
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Communication & Collaboration: Ability to explain complex statistical concepts to non-technical stakeholders, translate business questions into rigorous experimental designs, and define clear specifications so engineers can implement your methods in production.
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AI-Native Workflow: Strong AI Sense — extensive hands-on experience with AI coding tools (Claude Code, OpenClaw, or similar). Demonstrated ability to leverage AI assistants to automate repetitive analytical tasks, accelerate code development, and build self-serve tooling faster. You treat AI tools as a daily productivity multiplier, not a novelty.
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Bilingual Communication: Fluent in both English and Chinese, able to collaborate effectively with Asia-Pacific engineering and product teams, serving as a communication bridge between the US R&D Center and APAC teams. This role involves occasional cross-timezone coordination with teams in Singapore, Dubai, and other APAC locations (UTC+4 to UTC+8); candidates may need to join important meetings in early mornings or evenings.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.