---
title: 'Senior Data Scientist/ML at Rho'
canonical: 'https://feeny.ai/job/senior-data-scientist-ml-rho-belgrade-544n5ys5x7xy'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Data Scientist/ML at Rho

- **Company:** Rho
- **Location:** Belgrade, Serbia
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-29
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/rho/a6461b59-ddde-4d07-8399-8d63cf678514

## Job description

## About Us

Rho is the modern banking platform built for the AI era. Startups and growth-stage companies can open accounts in minutes, issue cards, manage expenses, pay bills, and close the books – all in one connected platform backed by real human support.

## About the Role

Our team is looking for a Senior Data Scientist to join our data products team. This role has significant latitude to shape how modeling, evaluation, and ML infrastructure work here: the standards, tooling, and processes you help establish will influence how models get built for a long time to come. This is intentionally a hybrid role. At many companies, data science and ML infrastructure are split into separate functions: data scientists author and train models, while a dedicated platform team owns deployment, observability, and retraining. At Rho, we need someone who can do both, someone who can build the model and reason clearly about how it gets deployed, monitored, and retrained in production. You'll work on high-leverage problems like our transaction coding suggestion engine, OCR/document understanding pipeline, and RAG-based and agentic systems, while also helping build the underlying foundation: evaluation frameworks, model deployment and monitoring practices, and the infrastructure decisions that determine whether ML at Rho is reliable and scalable. This role requires genuine fluency in ML infrastructure and evals, not just modeling - you should be as comfortable discussing feature store design or eval harness architecture with data engineers as you are validating a model's statistical soundness. Technologies we use for data: Python, Snowflake, DBT, PostgreSQL, Kubernetes, MLflow, Terraform, Prometheus, Google Cloud Services, Omni, Hex, PowerBI 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 the company real confidence in model quality, before and after launch
- Build and own high-impact models and analyses powering products like transaction coding suggestions, OCR/document understanding, and RAG/agentic systems
- Make and document key ML infrastructure decisions (model registries, feature stores, serving patterns, monitoring/alerting for drift and degradation) in close partnership with data engineering
- Set technical standards and best practices that help the ML/DS practice scale as the team grows
- Translate ambiguous business problems into well-scoped modeling questions
- Design and analyze experiments (A/B tests, causal inference) to validate model impact rigorously
- Advocate for and drive adoption of ML infrastructure and tooling improvements as needs grow

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, monitoring/observability for models, 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:, someone who doesn't hand a model off to a platform team and walk away, but who can own it end to end when needed
- 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, and able to speak credibly on both the modeling and systems sides
- Experience with statistical modeling, machine learning techniques, and experiment design
- Excellent communication skills; able to influence technical direction and bring both technical and non-technical stakeholders along

Nice To Haves:

- Experience with RAG (Retrieval-Augmented Generation) 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

## What we offer

Our people are our most valuable asset. Base salary may vary depending on relevant experience, skills, geographic location, and business needs. Benefits:

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

## About Rho

## Company Overview
- **One-liner**: Rho is a modern financial platform that combines business banking, corporate cards, treasury, bill pay, expense management, and accounting automation into a single connected workflow for startups and scaling companies.
- **Entity Type**: Private (Series C, $365M total funding per [fastaijobs.com](https://www.fastaijobs.com/companies/rho))
- **Headquarters**: New York, United States
- **Founded**: 2018
- **Founders**: Not publicly named on the website or in widely available biographical detail (the platform was built by an internal team; the "About Us" page references the founding team as having built the platform they "wish we had when we first launched the company" [rho.co/about](https://www.rho.co/about))

## Core Business
- **Primary industry**: Financial Services / Fintech – specifically Business Banking, Spend Management, and Corporate Cards.
- **Target customers**: B2B – founders (from two-person startups to public companies), finance teams (controllers, CFOs), and business owners at all stages of growth.
- **Mission/purpose**: Built to eliminate financial busywork, enabling companies to focus on building a world-changing business. As stated on their "About Us" page: "We built the Rho platform for them… to focus less on busywork and more on activities that actually drive the business forward." [rho.co/about](https://www.rho.co/about)

## Products & Services
- **Business Checking & Savings Accounts**: FDIC-insured accounts for managing day-to-day cash flow.
- **Rho Cards**: Corporate credit cards with strict spend limits, category restrictions, and expense rules to control spending.
- **Bill Pay**: AI-powered invoice scanning, automated approval routing, and direct payments to vendors.
- **Expense Management**: Automated reimbursements and real-time transaction organization to keep compliance in check.
- **Treasury Accounts**: Earn competitive market yields on company cash that would otherwise sit idle.
- **Accounting Integrations**: Syncing across banking, cards, and treasury so books stay clean and audit-ready.
- **Rho Mobile App**: A mobile interface for on-the-go management.

All of these are offered as a connected SaaS platform. [rho.co](https://www.rho.co/)

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Key Metric – Total Funding**: **$365M** per [fastaijobs.com](https://www.fastaijobs.com/companies/rho) (specific breakdown from [LinkedIn](https://www.linkedin.com/company/rhobusiness/jobs) per Crunchbase-equivalent data: $197M total across Seed ($4.9M + $2.3M), Series A ($15M), Series B ($75M), and Debt Financing ($100M) — however, the higher "Series C" figure of $365M in total funding suggests a later round occurred or different aggregator methodology).
- **Net Discrepancy Note**: Different sources report total funding inconsistently: Crunchbase data via LinkedIn shows $197M across 4 early rounds, while a newer aggregator (fastaijobs) cites $365M. This is labeled as **conflicting reports**.
- **Annual Revenue**: **$25M** as estimated by [LinkedIn](https://www.linkedin.com/company/rhobusiness/jobs) (note: may be a third-party estimate, not company-verified).
- **Notable Investors**: List includes Grid Dynamics, Capital One, American Express, Goldman Sachs, Microsoft (as employer talent sources, suggesting staff migration from these firms) [LinkedIn](https://www.linkedin.com/company/rhobusiness/jobs). Debt financing (April 2021) had a single undisclosed investor; Series B (Dec 2021) had 5 investors.
- **Growth Signals**:
  - Headcount of **236 employees** as of mid-2026, with **+30.2% YoY growth** [LinkedIn](https://www.linkedin.com/company/rhobusiness/jobs).
  - **32 open roles** as of mid-2026 [rho.co/careers](https://www.rho.co/careers), spanning NYC, San Francisco, Austin, Boston, Los Angeles, Belgrade (Serbia), Poland (remote), and US-wide remote.
  - Active hiring in engineering (Senior/Full Stack Software Engineers), Go-to-Market (Account Executives, Advisors, Startups Banking), Product (VP of Product, Product Managers, Design), and Marketing (Brand, Events, Consumer).

## Competitive Advantages
- **All-in-one platform**: Unlike piecemeal setups, Rho connects banking, cards, treasury, bill pay, and expense management in one workflow — reducing the need for 3–5 separate vendors.
- **Fast implementation**: "Get up and running quickly with hands-on onboarding and a dedicated team… response times under a minute" [rho.co](https://www.rho.co/).
- **Enterprise-grade without bloat**: "No monthly fees" and strict spend controls, while still offering features like AI invoice scanning and automated approvals.
- **Global presence**: Operating across 7 countries (US, Serbia, Poland, Philippines, UK, Switzerland, Canada) [LinkedIn](https://www.linkedin.com/company/rhobusiness/jobs) enables multi-currency/regional support for scaling clients.

## Strategic Focus
- **Scaling with customers**: The platform is explicitly designed to support companies "from inception stage to IPO and beyond… never outgrow" the platform [rho.co/about](https://www.rho.co/about).
- **Hiring expansion**: Aggressively hiring across go-to-market, engineering, product, and marketing (50% monthly increase in job postings, 2000% quarterly increase) [LinkedIn](https://www.linkedin.com/company/rhobusiness/jobs), signaling a major growth push.
- **Automation depth**: Focus on AI-driven features (invoice scanning, expense automation) to reduce manual finance work.
- **Treasury/Runway focus**: Emphasis on putting cash to work (treasury yields) suggests a strategic bet on serving cash-rich startups and SMBs looking to maximize runway.

## Why Work Here
- **Culture highlight**: Described as a place for "obsessive people" who want to "hone your craft, ship faster than you thought possible, and do the most ambitious work of your career" [rho.co/careers](https://www.rho.co/careers). The "About Us" page repeatedly emphasizes "creating delightful experiences" for customers and earning the right to serve them.
- **Remote/Hybrid/Office Policy**: Mixed model. Roles exist in NYC (HQ), San Francisco, Austin, Boston, Los Angeles, Belgrade, and Poland (remote). Some roles are explicitly "US - Remote" or "Poland - Remote" while others specify a city (e.g., "NYC", "San Francisco"). The company has 4 offices globally (likely NYC, SF, Belgrade, and one other) [rho.co/careers](https://www.rho.co/careers).
- **Notable perks/culture signals**:
  - 32 open roles spanning multiple functions — strong signal of growth.
  - Technical staff makes up 22% of headcount; Sales 10%; Finance 9%, suggesting an engineering-led but GTM-heavy current hiring phase.
  - Talent sources include American Express (32 hires), Capital One (7), Microsoft (7), Goldman Sachs (5) — implying a strong Fintech/Finance DNA.
  - Alumni go to Rippling, Amazon, Deloitte — suggesting a pedigree similar to high-growth Fintech.
- **Engineering culture**: With 73 technical staff (22% of total), and open roles for Senior Software Engineers (Belgrade + Poland remote), Full Stack Engineers (Poland remote), and multiple Product Designers, engineering appears to be a core focus area for growth.

## Sources
1. [rho.co](https://www.rho.co/)
2. [rho.co/about](https://www.rho.co/about)
3. [rho.co/careers](https://www.rho.co/careers)
4. [LinkedIn – Rho Company Profile & Jobs](https://www.linkedin.com/company/rhobusiness/jobs)
5. [fastaijobs.com – Rho Careers & Jobs](https://www.fastaijobs.com/companies/rho)

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