{"id":1114909,"url":"https://alion.io/job/roche-senior-data-scientist-ml-engineering-mlops","title":"Senior Data Scientist - ML Engineering & MLOps","company":{"id":13531,"name":"Roche","domain":"roche.com","url":"https://alion.io/company/roche","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":244,"ghost_share":0.045,"stale_share":0.561,"repost_share":0.123,"time_to_fill_p50_days":20,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["San José, Costa Rica"],"countries":["CR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":119000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"Weights & Biases","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-09-22T14:44:02Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-11-08T02:52:51Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":46},"description":"At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.\nThe Position\nAs a Senior Data Scientist - ML Engineering, you will join the Global Analytics and Technology Center of Excellence (GATE) in San José, Costa Rica. In this role, you will own the end-to-end path from machine learning models to scalable, reliable production systems supporting global Roche affiliates. Operating across the full MLOps and software engineering stack, you will architect cloud-native ML pipelines, build automated testing and CI/CD frameworks, instrument model observability, and set high software craftsmanship standards across the engineering team.\nThe Opportunity\n ML Systems & Platform Engineering: Architect, deploy, and maintain end-to-end production ML services, training pipelines, containerization, and orchestration (Airflow/Dagster) with strict SLAs for performance and cost.\nMLOps Capability Building: Design reusable MLOps platform components including feature stores, model registries, experiment tracking, and automated CI/CD deployment pipelines using GitLab CI or GitHub Actions.\nModel Accuracy & Observability: Build automated back-testing frameworks and instrumentation for tracking data/concept drift, feature anomalies, and model performance decay, translating diagnostic findings into root-cause fixes.\nCloud & Pipeline Automation: Implement cloud-native ML infrastructure across AWS, Azure, or GCP, systematically automating manual tasks and maintaining data synchronization contracts.\nTechnical Leadership & Coaching: Establish engineering standards through code reviews, refactoring research code, and mentoring data scientists on production-grade software practices.\nStakeholder Support: Partner with global affiliate teams to explain predictive model outputs, address business needs, and incorporate feedback into technical roadmaps.\nWho You Are\nBachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a quantitative discipline.\n 7+ years of relevant experience running and maintaining machine learning systems in production environments.\nDeep proficiency in Python, Linux/Bash, SQL, modern pipeline tools (Spark, dbt, Snowflake, Databricks), and clean API design.\nHands-on expertise with containerization (Docker, Kubernetes), MLOps tools (MLflow, Weights & Biases), orchestration (Airflow), and CI/CD automation.\nProven experience in cloud architectures (AWS, Azure, or GCP) and core ML frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow, time-series forecasting).\nStrong analytical mindset focused on quality control, data contracts, and system observability (experience with LLMOps, streaming/Kafka, or GPU workloads is a plus).\nMust be currently based in Costa Rica or hold valid work authorization for San José.\nNo relocation benefits are offered for this position.\nWho we are\nA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.\nLet’s build a healthier future, together.\nRoche is an Equal Opportunity Employer.","description_format":"text","description_chars":3853,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Costa Rica","iso":"CR","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Diagnostic Tests & IVD","Biologics & Biosimilars","Oncology Therapeutics"],"lifecycle":[{"event":"open","at":"2026-09-22T14:44:02Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.504,"p_room":0.28,"age_days":46,"expected_fill_days":20,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/roche-senior-data-scientist-ml-engineering-mlops","json_url":"https://alion.io/job/roche-senior-data-scientist-ml-engineering-mlops.json","meta":{"generated_at":"2026-11-08T06:02:55Z","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":13113,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"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":13531},"rest":"https://alion.io/mcp/rest/get_company?id=13531"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Froche-senior-data-scientist-ml-engineering-mlops"},{"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%2Froche-senior-data-scientist-ml-engineering-mlops"},{"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%2Froche-senior-data-scientist-ml-engineering-mlops"},{"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/roche-senior-data-scientist-ml-engineering-mlops\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Froche-senior-data-scientist-ml-engineering-mlops"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1114909}},{"tool":"search_jobs","arguments":{"company":"roche.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1114909},"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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