{"id":1438698,"url":"https://alion.io/job/allegro-junior-data-scientist","title":"Junior Data Scientist","company":{"id":1876195,"name":"Allegro","domain":"allegro.eu","url":"https://alion.io/company/allegro-eu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":63000,"max_usd":157000,"period":"year","method":"global_role_seniority_cell","sample_n":345},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"BigQuery","optional":false},{"name":"Consul","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Service Mesh","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Vertex AI","optional":false},{"name":"Windows","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-15T00:00:00Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-09-29T09:58:52Z","board_verified":false,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"About the job:\nWe are looking for a Data Scientist with a strong analytical and business mindset - someone who enjoys decoding market mechanisms, tracking emerging product trends, and applying statistical models to solve complex platform puzzles.\nOur team drives the logic that powers a trustworthy and competitive marketplace. As part of the Marketplace organization dedicated to delivering the best experiences for our buyers and sellers, we specialize in data-driven solutions focused on driving their growth - particularly through identifying market-relevant products, monitoring and optimizing product mapping quality for internal processes, and building robust reporting to extract actionable insights for business teams.\nMoreover, we are actively leveraging cutting-edge AI to build agentic workflows that capture emerging trends and feed critical intelligence back into partner-support processes. We work in close collaboration with developers and product teams across the entire project lifecycle, from ideation to implementation.\nImportant things for you:\nFlexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.\nThe salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost):PLN 11 200 - 15 250\nAnnual bonus based on your annual performance and company results.\n\nOur team is based in Warsaw.\nWhat will your job involve?\nCreating data science projects at each stage - from concept to productization - to deliver models solving complex business problems.\nDeveloping ML models to monitor and continuously improve the quality of product mappings for key internal processes.\nWorking with diverse data modalities, including tabular data, natural language text, product metadata, and time series.\nBuilding and experimenting with AI Agents designed to detect market trends and feed actionable intelligence directly into partner-support workflows.\nIdentifying and building curated lists of market-relevant products crucial for buyers and platform competitiveness.\nDeveloping advanced data science solutions and predictive insights to empower business teams and drive strategic decision-making.\nWorking hand-in-hand with Data Engineers who support data pipeline heavy-lifting on GCP.\nCooperating closely with cross-functional stakeholders: business teams, product managers, data engineers, and analysts.\nWhy should you work with us?\nData Science plays a key role in the operation of Allegro - through your models, trend insights, and mapping tools, you will directly influence business decisions and partner growth.\nYou will participate in cutting-edge projects, including building Agentic AI systems and automated trend detection in a large-scale e-commerce ecosystem.\nSupport of experienced Data Scientists - there is always someone to exchange ideas with, as we have top specialists and experts on board.\nAccess to huge data sets and state-of-the-art data processing technologies in GCP (BigQuery, VertexAI, Cloud Composer, Dataflow, Airflow, PySpark, Gemini/GPT models).\nOpportunity to learn best software engineering, code quality, and MLOps practices in practice.\nWe share knowledge at industry conferences, host internal meetups, and actively co-create the DS/ML community in Poland and globally.\nOur offer is addressed to people who:\nHave foundational experience or academic background in building classical ML/DS solutions (such as regression, classification, clustering, time series) and data analysis using SQL.\nUnderstand classical ML algorithms, their strengths, weaknesses, and basic hyperparameter tuning techniques.\nKnow how to evaluate model performance using statistical metrics and diagnose basic data & mapping quality issues.\nCan explore data effectively by writing cost-efficient SQL queries, aggregating data, and creating clear reports or visualizations to deliver actionable business insights.\nAre capable of ingesting, validating, and transforming tabular data and product metadata into features ready for modeling.\nCan map business challenges (e.g. product relevance, mapping accuracy, trend detection) into analytical/modeling problems.\nWrite readable, clean Python code following standards and best practices, with awareness of basic testing (e.g. unit tests) and cloud cost optimization basics.\nPossess practical and theoretical knowledge of Generative AI & Agentic AI principles (prompting, validation, agent workflows) and enthusiastically leverage AI-assisted coding tools (e.g. Copilot) to accelerate daily work.\nCommunicate clearly and proactively, presenting findings and insights effectively to technical and non-technical stakeholders.\nSpeak English and Polish at a B2+ level or higher.\nGraduated with a degree in Mathematics, Computer Science, Economics, Physics (or similar quantitative field) or have early-career experience in Data Science / Data Analytics positions.\nWhat's in it for you:\nWell-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).\nA 16\" or 14\" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.\nA wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers).\nEnglish classes that we pay for related to the specific nature of your job.\nA training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings.\nAn additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.\nSocial events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.\nAnd that's just the beginning! You can read more about the benefits here.\n#goodtobehere means that:\nYou will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.\nYou will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create.\nYou will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job.\nYou will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).\nYou will create solutions that will be used (and loved!) by your friends, family and millions of our customers.\nYou will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.\nYou will become part of Allegro Tech - we speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!\nSend us your CV and... see you at Allegro!","description_format":"text","description_chars":7616,"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":[{"language":"Polish","level":"All levels","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":["Apple Macbook","Cafeteria","Flexible schedule"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Marketplaces"],"lifecycle":[{"event":"open","at":"2026-09-29T04:13:31Z"}],"liveness":{"score":56,"band":"ok","label":"Likely open","p_open":1,"p_active":0.748,"p_room":0.75,"age_days":16,"expected_fill_days":22,"reasons":["conf:43","velocity","win:late","comp:junior,brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/allegro-junior-data-scientist","json_url":"https://alion.io/job/allegro-junior-data-scientist.json","meta":{"generated_at":"2026-10-01T10:57:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2199,"day_limit":5000,"remaining_today":2801,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}