Yopeso Romania SRL is hiring a Senior Data Scientist focused on Infrastructure Experimentation. Join our data organization to partner with infrastructure engineering teams, measuring and modeling the infrastructure impact of product experiments. You will build and maintain models to predict the cost and performance implications of A/B tests.
What You'll Do
- Build and maintain machine learning models that predict the infrastructure cost impact of A/B experiments, translating experimentally observed signals into business and system metrics.
- Drive adoption of infrastructure metrics within the experimentation community through analysis, consultation with experiment owners, documentation, and training.
- Partner with platform teams (Observability, Experimentation Platform) to improve the quality and coverage of infrastructure usage data feeding our models.
- Extend our measurement framework to new metrics (e.g., latency) and new experiment types (e.g., infrastructure canary tests).
- Champion an infrastructure lens within the broader experimentation community, helping shift culture toward reasoning about the full ROI and infrastructure impact of experiments.
- Connect with the larger analytics and experimentation communities to bring visibility to our work and learn from others.
What We're Looking For
- Experience in experimentation methodology and causal inference, with a strong foundation in A/B testing, treatment effect estimation, and statistical significance.
- Experience building and maintaining machine learning models in production, including the full lifecycle of training, evaluation, monitoring, and continuous improvement.
- Fluency in Python and SQL, with experience engineering data pipelines and working with large-scale data systems.
- A strong collaborator who thrives in horizontal roles with broad stakeholder surfaces, comfortable influencing decisions through data and analysis rather than direct authority.
- An exceptional communicator who can flex between technical and non-technical audiences, translating statistical concepts for software engineers and business leaders alike.
- Comfort with messy, incomplete data environments and the ability to balance short term execution with a drive to improve data quality over time.
- A strong product thinker who views data science outputs as products, taking an end-to-end ownership mindset from data quality through to user adoption.
- Comfort with ambiguity, thriving with minimal oversight and process.
Nice to Have
- Curiosity about infrastructure systems; prior experience in the infrastructure domain is a strong plus but not required; the ability and motivation to learn is essential.
Technical Stack
- Python
- SQL
- Machine Learning
- AWS
Team & Environment
Part of a data organization of Analytics Engineers, Data Engineers, and Data Scientists who partner with infrastructure engineering teams.
Benefits & Compensation
- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
- Flexible time off for salaried employees
- Compensation: $372,000.00 - $600,000.00 + equity: You choose each year how much of your compensation you want in salary versus stock options.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
