Datu zinātnieks / Data Scientist (Information Security Threat Detection team)
External
Evolution · Riga, LatviaFull-timeOn-site2w ago
AgileAWSCI/CDClusteringConfluenceDocker
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About the role
We 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.
Responsibilities
- Discover anomalies in application usage and access patterns using log (web/app) and financial data;
- Create prototypes and implement production pipelines (batch & streaming);
- Proactively research malicious activity cases to improve detection capabilities;
- Analyze and provide data needed for security incident investigations;
- Build actionable dashboards and reports to monitor security threats.
- Candidate We're Looking For:
- Is able to deliver projects from conception to production and create monitoring solutions;
- Is deeply curious, analytical and wanting to understand how things work;
- Puts effort into understanding the problem before generating solutions;
- Able to use AI assistance intelligently to increase productivity and quality;
- At least 3+ years of experience in data engineering/data science (for senior role at least 5+ years).
- Technical Skills:
- Strong Python (including PySpark)
- Advanced SQL
- Experience with distributed data systems (e.g., Spark)
- Familiarity with AWS (S3, EMR, Athena, Lambda)
- Experience with Kafka is a plus
- Comfortable with Git, Docker, and CI/CD pipelines
Requirements
- Previous work with anomaly detection and clustering in a big data environment;
- Ability to explain statistical concepts in simple words to stakeholders;
- Degree in Computer Science, Engineering, Math, Physics, or related fields
- Experience with Tableau or other BI tools.
- Why You'll Love It:
- Work on impactful projects that turn raw data into security decisions.
- Continuous improvement opportunities to counter ever improving malicious actors
- Collaborative team culture that values learning, experimentation and results.
Benefits
Gross monthly salary from 3000 EUR to 6600 EUR.A 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.Modern 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).Being a part of an international team in a successful, publicly traded company.Health insurance, contemporary office environment, development opportunities, hackathons, and other benefits and perks.----------------------------------------------------------------------------------------------------------------Darba aprakstsMēs meklējam "datu urķi" un virtuozu, kas brīvi pārvalda SQL un Python, ar spēju pamanīt anomālijas un vēlmi izprast, kā lietas darbojas.Par mums:Ko Tu darīsi:Atklāsi anomālijas lietojumprogrammu izmantošanā, analizējot uzvedības un piekļuves modeļus, izmantojot žurnālfailu (web/app) un finanšu datus;Izstrādāsi prototipus un ieviesīsi produkcijas datu plūsmas (batch un streaming);Proaktīvi pētīsi ļaunprātīgas aktivitātes gadījumus, lai uzlabotu draudu noteikšanas spējas;Analizēsi un nodrošināsi datus drošības incidentu izmeklēšanai;Veidosi pārskatāmus informācijas paneļus un atskaites drošības draudu uzraudzībai.Kandidāta īpašības:Spēj realizēt projektus no idejas līdz ieviešanai produkcijā un izveidot uzraudzības risinājumus;Ir zinātkārs, analītisks un vēlas izprast sistēmu darbību;Pirms risinājumu izstrādes iedziļinās problēmas būtībā;Prot gudri izmantot mākslīgā intelekta rīkus produktivitātes un kvalitātes uzlabošanai;Vismaz 3+ gadu pieredze datu inženierijā vai datu zinātnē (vecākajai pozīcijai - vismaz 5+ gadi).Tehniskās prasmes:Ļoti labas Python prasmes (t.sk. PySpark)Padziļinātas SQL zināšanasPieredze darbā ar dalītām datu sistēmām (piemēram, Spark)Pieredze darbā ar AWS (S3, EMR, Athena, Lambda)Kafka pieredze tiks uzskatīta par priekšrocībuPieredze ar Git, Docker un CI/CD procesiemPriekšrocības:Pieredze ar anomāliju noteikšanu un klasterēšanu lielu datu vidēs;Spēja vienkārši izskaidrot statistikas jēdzienus ne-tehniskiem kolēģiem;Augstākā izglītība datorzinātnēs, inženierzinātnēs, matemātikā, fizikā vai līdzīgā jomā;Pieredze ar Tableau vai citiem BI rīkiem.Kāpēc Tev patiks šī loma:Darbs pie ietekmīgiem projektiem, kas pārvērš datus drošības lHealth insurance
Additional Information
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.
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