{"id":160778,"url":"https://alion.io/job/rho-senior-data-scientistml","title":"Senior Data Scientist/ML","company":{"id":174579,"name":"Rho","domain":"rho.co","url":"https://alion.io/company/rho-2","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":77,"open_postings":42,"ghost_share":0.381,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Belgrade, Serbia"],"countries":["RS"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":147000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Machine Learning","optional":false},{"name":"OCR","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Dagster","optional":true},{"name":"MLFlow","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prefect","optional":true},{"name":"Prometheus","optional":true},{"name":"Snowflake","optional":true},{"name":"Terraform","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-08-29T09:07:39Z","employer_posted_date":"2026-08-29","last_verified_at":"2026-10-28T13:12:55Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":59},"description":"About Us\nRho 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.\nAbout the Role\nOur 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.\nThis 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.\nTechnologies we use for data: Python, Snowflake, DBT, PostgreSQL, Kubernetes, MLflow, Terraform, Prometheus, Google Cloud Services, Omni, Hex, PowerBI\nResponsibilities:\nHelp define and evolve Rho's ML/DS practices: how models get evaluated, deployed, monitored, versioned, and retrained\n\nDesign and implement evaluation frameworks and eval harnesses that give the company real confidence in model quality, before and after launch\n\nBuild and own high-impact models and analyses powering products like transaction coding suggestions, OCR/document understanding, and RAG/agentic systems\n\nMake and document key ML infrastructure decisions (model registries, feature stores, serving patterns, monitoring/alerting for drift and degradation) in close partnership with data engineering\n\nSet technical standards and best practices that help the ML/DS practice scale as the team grows\n\nTranslate ambiguous business problems into well-scoped modeling questions\n\nDesign and analyze experiments (A/B tests, causal inference) to validate model impact rigorously\n\nAdvocate for and drive adoption of ML infrastructure and tooling improvements as needs grow\n\nRequirements:\n6+ years of experience in data science, applied ML, or a related quantitative field, with a track record of shipping models into production\n\nDeep, hands-on understanding of ML infrastructure: model registries, feature stores, serving architectures, monitoring/observability for models, and retraining pipelines\n\nStrong experience designing evaluation frameworks and evals for ML systems;, including offline metrics and ongoing production evaluation\n\nComfortable 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\n\nExperience helping establish or mature ML practices, standards, or infrastructure within a team and company\n\nStrong programming skills in Python, with solid SQL\n\nComfortable making infrastructure trade-off decisions jointly with data/platform engineers, and able to speak credibly on both the modeling and systems sides\n\nExperience with statistical modeling, machine learning techniques, and experiment design\n\nExcellent communication skills; able to influence technical direction and bring both technical and non-technical stakeholders along\n\nNice To Haves:\nExperience with RAG (Retrieval-Augmented Generation) systems, vector databases, or building/deploying agents\n\nExperience with OCR, document understanding, or other unstructured data extraction problems\n\nFamiliarity with workflow orchestrators such as Airflow, Dagster, or Prefect\n\nExperience with cloud ML platforms (GCP Vertex AI, AWS SageMaker, or similar)\n\nComfort with containerization and Kubernetes for model deployment\n\nExperience with BI tools such as Omni or Power BI\n\nBackground in fintech, banking, or financial services data\n\nExperience mentoring or growing a DS/ML team\n\nWhat we offer\nOur people are our most valuable asset. Base salary may vary depending on relevant experience, skills, geographic location, and business needs.\nBenefits:\nTop-notch Private Healthcare Insurance for you and your family members\n\nGenerous PTO policy\n\nLunch at work\n\nCovered costs for parking for onsite staff\n\nLearning and development budget\n\nPaternity leave\n\nHybrid work environment (with old town Belgrade office)","description_format":"text","description_chars":4952,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Serbia","iso":"RS","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Digital Banks & Neobanks"],"lifecycle":[{"event":"open","at":"2026-08-29T09:07:39Z"}],"visa":[],"liveness":{"score":41,"band":"fade","label":"Fading","p_open":1,"p_active":0.751,"p_room":0.55,"age_days":59,"expected_fill_days":40,"reasons":["conf:2","win:tail"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/rho-senior-data-scientistml","json_url":"https://alion.io/job/rho-senior-data-scientistml.json","meta":{"generated_at":"2026-10-28T14:02:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":19096,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":174579},"rest":"https://alion.io/mcp/rest/get_company?id=174579"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frho-senior-data-scientistml"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frho-senior-data-scientistml"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frho-senior-data-scientistml"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/rho-senior-data-scientistml\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frho-senior-data-scientistml"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":160778}},{"tool":"search_jobs","arguments":{"company":"rho.co","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":160778},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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