{"id":1220814,"url":"https://alion.io/job/softeq-senior-i-data-scientist","title":"Senior I Data Scientist","company":{"id":62427,"name":"Softeq","domain":"softeq.com","url":"https://alion.io/company/softeq","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"ADP","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vilnius, Lithuania"],"countries":["LT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":117000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1254},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-24T11:08:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-25T18:22:51Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Established in 1997, Softeq was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now we've expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a global scale. So let's get started and build a better future together!\nAs we're expecting to expand our team and launch new projects within the next 1-2 months, we're already accepting applications and starting the interview process for selected candidates. We'd love to hear from you - feel free to apply!\nWhat the role does here\nExplores operational and financial data, frames hypotheses and tests them;\nBuilds predictive and analytical models: delays and durations, congestion, cost, plan-versus-actual variance;\nEngineers features over the curated data layers and documents their meaning and provenance;\nWorks with historical data states so that a training sample reflects what was known at the time of the event rather than what is known now;\nPrepares the inputs behind analytics products: KPI dashboards, user activity analytics, executive summaries, trend analysis;\nAligns metric and calculation definitions with the semantic layer so figures agree across reports, APIs and interfaces;\nValidates results with business stakeholders and produces model documentation.\nMust have\nAnalytical Python: pandas, scikit-learn, statistical libraries, clear visualization;\nSpark SQL and PySpark, confident work on large tables, window functions, and an understanding of distributed execution;\nDatabricks as a working environment: notebooks, jobs, experiment tracking, catalog and data permissions, table versions and time travel;\nUnderstanding of the medallion model and which layer is the correct source for a given analysis;\nStatistics and time-series methods, sound experiment design, baselines and honest quality metrics;\nExperience with raw data from enterprise systems of record: gaps, duplicates, retroactive corrections, inconsistent reference data;\nAbility to explain and defend a result to a non-technical stakeholder.\nNice to have\nStoring features in the catalog and handing them to the production path;\nTransportation, logistics or supply chain;\nGeospatial analysis and route data;\nExperience handing a model over to an ML engineer for production.\nSofteq communicates only from @softeq.com email addresses. We never request payments or fees for any reason during hiring - including trainings or courses to be completed, equipment, onboarding, or background checks - and we will not ask for banking information, cryptocurrency or gift cards. If you receive a message from any other domain or requesting payment, do not respond and report it to ","description_format":"text","description_chars":2803,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Embedded Software & RTOS","Embedded & Electronics Design","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-25T11:53:57Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":32,"reasons":["conf:9","win:early"],"computed_at":"2026-09-26T04:03:54Z"},"pay":null,"html_url":"https://alion.io/job/softeq-senior-i-data-scientist","json_url":"https://alion.io/job/softeq-senior-i-data-scientist.json","meta":{"generated_at":"2026-09-26T04:03:54Z","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":4411,"day_limit":5000,"remaining_today":589,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}