{"id":3401439,"url":"https://alion.io/job/arrise-data-scientist-recsys-2","title":"Data Scientist - RecSys","company":{"id":3192,"name":"ARRISE","domain":"arrise.com","url":"https://alion.io/company/arrise","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jobvite","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Portugal"],"countries":["PT"],"hiring_countries":["PT"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":84000,"period":"year","method":"role_country_seniority_unknown","sample_n":39},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Hugging Face","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"MySQL","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Polars","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Presto","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-28T14:38:23Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-30T05:33:20Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Description\nPosition at ARRISE\nWhat you will do\nDesign, implement, and optimize end-to-end recommendation pipelines, from data ingestion to model inference.\nBuild and maintain scalable ETL pipelines to support reliable and efficient data flows.\nDevelop, evaluate, and continuously improve ML models for recommendation systems.\nResearch, prototype, and implement state-of-the-art (SOTA) approaches to improve recommendation quality and drive key business metrics.\nScale and optimize data and model pipelines to handle large volumes of data and real-time or batch processing needs.\nIntegrate multi-modal data (e.g., behavioral, transactional, and contextual signals) from various systems into recommendation models.\nEnsure robustness and stability of pipelines by implementing unit and integration tests across data, modeling, and deployment workflows.\nMonitor and maintain end-to-end system performance, including data pipelines, model quality, and downstream impact.\nDesign and analyze A/B tests to evaluate model performance and support data-driven product decisions.\nBuild dashboards and observability tools to track model metrics, system health, and business KPIs.\nCollaborate closely with Data Engineers, Software Engineers, and stakeholders to deliver scalable, production-ready solutions.\nWhat you bring\nBachelor's or Master's degree in Computer Science, Engineering, or a related field\nStrong Python experience with recent production use, including hands-on work with data science and machine learning libraries and frameworks (e.g., Pandas, Polars, NumPy, scikit-learn, PyTorch, TensorFlow, JAX, Hugging Face, …)\nExperience building and deploying end-to-end machine learning systems on cloud AI platforms (Azure, GCP, or AWS), from ETL pipelines to deployment and monitoring, including model versioning and experiment tracking, supporting either batch or real-time workflows.\nStrong understanding of deep learning-based recommender systems for next-item prediction, and analogous NLP architectures that model sequential patterns and context\nDemonstrated experience building efficient data transformation pipelines for both transactional (OLTP) and analytical (OLAP) workloads, with strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MySQL, Redshift, Snowflake, BigQuery, MongoDB, Cassandra)\nExperience with unit and integration testing (e.g., Pytest), CI/CD pipelines, and Docker-based containerization\nWhat sets you apart\nExperience building large-scale recommender systems (e.g., candidate generation, ranking, retrieval, personalization).\nTrack record of publications in deep learning at relevant conferences or journals.\nExperience with Azure Data Factory / AWS Glue / Google Cloud Dataflow.\nExperience designing and analyzing A/B tests, with a solid understanding of relevant evaluation metrics.\nExperience designing and implementing metadata-driven pipelines to scale automated A/B testing systems.\nExperience developing multi-modal models that integrate multiple data types (e.g., text, images, audio).\nExperience applying transformer-based models or large language models (LLMs) to recommendation or personalization tasks.\nExperience with distributed training, including data parallelism and model parallelism.\nExperience with distributed data processing and big data technologies (e.g., Spark, Hadoop, Flink, Kafka, Hive, Presto, Databricks).\nAbout us\nARRISE is a global leader in software development and services for the iGaming industry, bringing together more than 2,500 professionals operating across more than 12 locations worldwide.\nFrom concept through to delivery, we combine technical expertise, creativity and industry knowledge to develop products, platforms and services that shape player experiences and support some of the industry's leading brands.\nWe are best known for the work we deliver for Pragmatic Play, creating and supporting technology, products and specialists services enjoyed by millions of players worldwide.","description_format":"text","description_chars":3967,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Game Development","iGaming & Gambling","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-28T14:38:23Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":12,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/arrise-data-scientist-recsys-2","json_url":"https://alion.io/job/arrise-data-scientist-recsys-2.json","meta":{"generated_at":"2026-10-30T08:29:23Z","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":12062,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":3192},"rest":"https://alion.io/mcp/rest/get_company?id=3192"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Farrise-data-scientist-recsys-2"},{"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%2Farrise-data-scientist-recsys-2"},{"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%2Farrise-data-scientist-recsys-2"},{"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/arrise-data-scientist-recsys-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Farrise-data-scientist-recsys-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3401439}},{"tool":"search_jobs","arguments":{"company":"arrise.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3401439},"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. Docs: https://alion.io/developers"}}