Founding Senior Data Scientist/ML

Stack

Responsibilities

• ▹Help define and evolve Rho's ML/DS practices: how models get evaluated, deployed, monitored, versioned and retrained
• ▹Design and implement evaluation frameworks and eval harnesses that give confidence in model quality before and after launch
• ▹Build and own high-impact models and analyses (transaction coding suggestions, OCR/document understanding, RAG and agentic systems)
• ▹Make and document key ML infrastructure decisions (model registries, feature stores, serving patterns, drift and degradation monitoring/alerting) in partnership with data engineering
• ▹Set technical standards and best practices that help the ML/DS practice scale
• ▹Translate ambiguous business problems into well-scoped modeling questions
• ▹Design and analyze experiments (A/B tests, causal inference) to validate model impact
• ▹Advocate for and drive adoption of ML infrastructure and tooling improvements

Requirements

• ▹6+ years of experience in data science, applied ML or a related quantitative field, with a track record of shipping models into production
• ▹Deep, hands-on understanding of ML infrastructure: model registries, feature stores, serving architectures, model monitoring and retraining pipelines
• ▹Strong experience designing evaluation frameworks and evals for ML systems, including offline metrics and ongoing production evaluation
• ▹Comfortable operating as a hybrid DS/infrastructure practitioner who can own a model end to end
• ▹Experience helping establish or mature ML practices, standards or infrastructure within a team and company
• ▹Strong programming skills in Python, with solid SQL
• ▹Comfortable making infrastructure trade-off decisions jointly with data/platform engineers
• ▹Experience with statistical modeling, machine learning techniques and experiment design

Nice to have

• ▹Experience with RAG systems, vector databases, or building/deploying agents
• ▹Experience with OCR, document understanding or other unstructured data extraction problems
• ▹Familiarity with workflow orchestrators such as Airflow, Dagster or Prefect
• ▹Experience with cloud ML platforms (GCP Vertex AI, AWS SageMaker or similar)
• ▹Comfort with containerization and Kubernetes for model deployment
• ▹Experience with BI tools such as Omni or Power BI
• ▹Background in fintech, banking or financial services data
• ▹Experience mentoring or growing a DS/ML team

Soft skills

What we offer

• ▹Top-notch private healthcare insurance for you and your family members
• ▹Generous PTO policy
• ▹Lunch at work
• ▹Covered parking costs for onsite staff
• ▹Learning and development budget
• ▹Paternity leave
• ▹Hybrid work environment (with old town Belgrade office)

About the company

Rho is a modern banking platform built for startups: open accounts in minutes, issue cards, manage expenses, pay bills and close the books in one connected platform backed by real human support.