{"id":975598,"url":"https://alion.io/job/teamlyzer-data-scientist","title":"Data Scientist","company":{"id":7680,"name":"Riskified","domain":"riskified.com","url":"https://alion.io/company/riskified","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":"teamlyzer.com","ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60000,"max":70000,"currency":"EUR","period":"year","gross":null,"usd_annual":79429},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"CircleCI","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-08-12T00:00:00Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-08-12T00:00:00Z","board_verified":false,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"Sobre a vaga\nThe Data Science department generates value to Riskified by developing algorithms and analytical production-grade solutions. As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. You will build and enhance products that matter, leveraging advanced techniques and algorithms to provide maximum value from data.\nO que vais fazer\nData Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis\nStatistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models\nMachine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes\nFeature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance\nModel Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics\nData Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively\nCollaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments\nResearch and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities\nO que é pedido\nB.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field\n3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production\nStrong understanding and practical experience with various machine learning algorithms\nProficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis\nSolid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design\nStrong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions\nProficiency in data visualization libraries, to create meaningful visual representations of complex data\nExcellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders\nDemonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment\nThis is a hybrid position based in Lisbon, working 2-3 days from the office weekly\nValorizado\nM.Sc is a plus\nExperience in the fraud domain\nExperience with Airflow, CircleCI, PySpark, Docker and K8S\nO que é oferecido\nThe base salary range for this position is €60,000 - €70,000 gross annually for candidates based in Lisbon\nAll full-time regular employees receive a bonus target and are eligible to receive stock-based awards\nHybrid mode of work\nFlexible schedule\nHealthcare benefits\nFully-stocked kitchens\nBenefits package per month-per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more\nWellness program\nCelebrations and activities\nTeam events\nHappy hours\nAwesome Riskified gifts and swags\nVolunteer programs\nPersonal development\nGlobal onboarding\nRole-based technical skills training\nFull access to Udemy\nResumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.","description_format":"text","description_chars":4018,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Gym membership","Hybrid work"],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","E-commerce Platforms"],"lifecycle":[{"event":"open","at":"2026-09-16T19:39:05Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.567,"p_room":0.45,"age_days":59,"expected_fill_days":30,"reasons":["seen:59","win:tail"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":79429,"is_top_pay":false},"html_url":"https://alion.io/job/teamlyzer-data-scientist","json_url":"https://alion.io/job/teamlyzer-data-scientist.json","meta":{"generated_at":"2026-10-12T03:23:15Z","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":5268,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":7680},"rest":"https://alion.io/mcp/rest/get_company?id=7680"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fteamlyzer-data-scientist"},{"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%2Fteamlyzer-data-scientist"},{"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%2Fteamlyzer-data-scientist"},{"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/teamlyzer-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fteamlyzer-data-scientist"}]}