{"id":33164,"url":"https://alion.io/job/evolution-datu-zinatnieks-data-scientist-information-security-threat-detection-team","title":"Datu zinātnieks / Data Scientist (Information Security Threat Detection team)","company":{"id":13826,"name":"Evolution","domain":"evolution.com","url":"https://alion.io/company/evolution","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":76,"open_postings":42,"ghost_share":0,"stale_share":0.976,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","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":["Riga, Latvia"],"countries":["LV"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":3000,"max":6600,"currency":"EUR","period":"month","gross":true,"usd_annual":88572},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"CI/CD","optional":true},{"name":"Confluence","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"GitLab","optional":true},{"name":"Jenkins","optional":true},{"name":"Kanban","optional":true},{"name":"Scrum","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-06-03T09:52:18Z","employer_posted_date":"2026-06-03","last_verified_at":"2026-10-29T02:31:14Z","board_verified":true,"closed_at":null,"days_open":147,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":147},"description":"Evolution ir daudznacionāls uzņēmums tiešsaistes spēļu industrijas priekšgalā. Mums ir plaša pieredze pirmajā vietā un vienmēr meklējam lieliskus cilvēkus, kas palīdzētu mums izveidot nākamo lielo produktu hitu. Mūsu komanda, kurā ir vairāk nekā 1000 inženieru, darbojas no 8 inženiertehniskajiem centriem, kas darbojas 24/7/365, lai apkalpotu lietotājus visā pasaulē. Tas tiek palaists, izmantojot modernu programmatūras steku, kas atbalsta vairāk nekā 250 pilnīgi automatizētus izlaidumus mēnesī mūsu galvenajai tiešraides videi. Mēs ticam iekšējai kompetencei un veikliem darba procesiem, lai mēs varētu īstenot savu inženierijas misiju: nevainojama spēlētāja pieredze.\n--------------------------------------------------------------------------\nEvolution is a multinational business at the forefront of the online gaming industry. We have an extensive track record of number 1s and are always looking for great people to help us create the next big product hit. Our team of 1,000+ engineers operates out of 8 engineering hubs running code 24/7/365 to serve users around the world. This is run through a modern software stack supporting over 250 fully automated releases per month to our main live environment. We believe in building in-house competence and agile work processes so that we can deliver on our Engineering mission: A flawless player experience.\n We are looking for a ‘data hacker’ and virtuoso, fluent in SQL and Python, with an eye for anomalies and a mindset to understand how things work.\nAbout Us:\nWe turn raw data into actionable decisions that improve our business security. Our team builds analytics, detection and predictive tools that make a real-world impact. If you love extracting and analyzing data, coding and seeing your effort restrict malicious activity, this is the role for you.\nWhat You’ll Do:\nDiscover anomalies in application usage and access patterns using log (web/app) and financial data; \nCreate prototypes and implement production pipelines (batch & streaming); \nProactively research malicious activity cases to improve detection capabilities; \nAnalyze and provide data needed for security incident investigations; \nBuild actionable dashboards and reports to monitor security threats. \nCandidate We’re Looking For:\nIs able to deliver projects from conception to production and create monitoring solutions; \nIs deeply curious, analytical and wanting to understand how things work; \nPuts effort into understanding the problem before generating solutions; \nAble to use AI assistance intelligently to increase productivity and quality; \nAt least 3+ years of experience in data engineering/data science (for senior role at least 5+ years). \nTechnical Skills:\nStrong Python (including PySpark) \nAdvanced SQL \nExperience with distributed data systems (e.g., Spark) \nFamiliarity with AWS (S3, EMR, Athena, Lambda) \nExperience with Kafka is a plus \nComfortable with Git, Docker, and CI/CD pipelines \nNice-to-Haves:\nPrevious work with anomaly detection and clustering in a big data environment; \nAbility to explain statistical concepts in simple words to stakeholders; \nDegree in Computer Science, Engineering, Math, Physics, or related fields \nExperience with Tableau or other BI tools. \nWhy You’ll Love It:\nWork on impactful projects that turn raw data into security decisions. \nContinuous improvement opportunities to counter ever improving malicious actors \nCollaborative team culture that values learning, experimentation and results. \nWe Offer:\nGross monthly salary from 3000 EUR to 6600 EUR. \nA healthy mix of startup-like culture of the company, which enables us to try new approaches and technologies, and remain on the edge of technological development and enterprise, with stability and supporting functions to help you focus on your job. \nModern and developer-friendly delivery processes, including Agile (Scrum / Kanban), JIRA issue tracking, Confluence wiki, GitLab source control, Jenkins continuous integration and delivery, modern hardware and software for development (an IDE of your choice). \nBeing a part of an international team in a successful, publicly traded company. \nHealth insurance, contemporary office environment, development opportunities, hackathons, and other benefits and perks.\n----------------------------------------------------------------------------------------------------------------\nDarba apraksts\nMēs meklējam \"datu urķi\" un virtuozu, kas brīvi pārvalda SQL un Python, ar spēju pamanīt anomālijas un vēlmi izprast, kā lietas darbojas.\nPar mums:\nMēs pārvēršam neapstrādātus datus lēmumos, kas uzlabo uzņēmuma drošību. Mūsu komanda veido analītikas, draudu noteikšanas un prognozēšanas risinājumus ar reālu ietekmi. Ja Tev patīk iegūt un analizēt datus, programmēt un redzēt, kā Tavs darbs palīdz ierobežot ļaunprātīgas aktivitātes, šī loma ir domāta Tev.\nKo Tu darīsi:\nAtklāsi anomālijas lietojumprogrammu izmantošanā, analizējot uzvedības un piekļuves modeļus, izmantojot žurnālfailu (web/app) un finanšu datus; \nIzstrādāsi prototipus un ieviesīsi produkcijas datu plūsmas (batch un streaming); \nProaktīvi pētīsi ļaunprātīgas aktivitātes gadījumus, lai uzlabotu draudu noteikšanas spējas; \nAnalizēsi un nodrošināsi datus drošības incidentu izmeklēšanai; \nVeidosi pārskatāmus informācijas paneļus un atskaites drošības draudu uzraudzībai. \nKandidāta īpašības:\nSpēj realizēt projektus no idejas līdz ieviešanai produkcijā un izveidot uzraudzības risinājumus; \nIr zinātkārs, analītisks un vēlas izprast sistēmu darbību; \nPirms risinājumu izstrādes iedziļinās problēmas būtībā; \nProt gudri izmantot mākslīgā intelekta rīkus produktivitātes un kvalitātes uzlabošanai; \nVismaz 3+ gadu pieredze datu inženierijā vai datu zinātnē (vecākajai pozīcijai - vismaz 5+ gadi). \nTehniskās prasmes:\nĻoti labas Python prasmes (t.sk. PySpark) \nPadziļinātas SQL zināšanas \nPieredze darbā ar dalītām datu sistēmām (piemēram, Spark) \nPieredze darbā ar AWS (S3, EMR, Athena, Lambda) \nKafka pieredze tiks uzskatīta par priekšrocību \nPieredze ar Git, Docker un CI/CD procesiem \nPriekšrocības:\nPieredze ar anomāliju noteikšanu un klasterēšanu lielu datu vidēs; \nSpēja vienkārši izskaidrot statistikas jēdzienus ne-tehniskiem kolēģiem; \nAugstākā izglītība datorzinātnēs, inženierzinātnēs, matemātikā, fizikā vai līdzīgā jomā; \nPieredze ar Tableau vai citiem BI rīkiem. \nKāpēc Tev patiks šī loma:\nDarbs pie ietekmīgiem projektiem, kas pārvērš datus drošības lēmumos; \nNepārtrauktas attīstības iespējas, lai apturētu ļaunprātīgus lietotājus, kas nepārtraukti uzlabo savas spējas; \nSadarbībā balstīta komandas kultūra, kas novērtē mācīšanos, eksperimentēšanu un rezultātus. \nKo mēs piedāvājam:\nBruto mēneša atalgojumu no 3000 EUR līdz 6600 EUR; \nSabalansētu uzņēmuma kultūru - startup dinamiku ar iespēju izmēģināt jaunas pieejas un tehnoloģijas, apvienojumā ar stabilitāti un atbalsta funkcijām; 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