{"id":53584,"url":"https://alion.io/job/nasdaq-data-scientist","title":"Mid-level Data Scientist","company":{"id":2948,"name":"Nasdaq","domain":"nasdaq.com","url":"https://alion.io/company/nasdaq","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":30,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":43,"computed_at":"2026-10-01T05:45:00Z"}},"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":"explicit","locations":["Vilnius, Lithuania"],"countries":["LT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":3800,"max":4800,"currency":"EUR","period":"month","gross":true,"usd_annual":65364},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-07T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-01T18:44:59Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":55},"description":"As a Mid-level Data Scientist within the Core AI Development team, you'll play a role in developing innovative Machine Learning solutions, and helping build the future of our products, services, and client experiences!\nYou'll thrive in this role if you're curious and ambitious professional who enjoys solving sophisticated problems, exploring new technologies, and translating data into business impact. You'll work closely with cross-functional teams to deliver solutions that drive smarter decisions and measurable results.\nKey Responsibilities\nDesign, develop, and implement machine learning and AI solutions that create measurable value across the organization.\nTransform complex data into actionable insights and recommendations for both technical and non-technical audience.\nPartner with business and technology teams to understand challenges, find opportunities, and deliver data-driven solutions.\nCommunicate project progress, key findings, and business impact to partners at various levels of the organization.\nRequired Qualifications\nBachelor's degree or equivalent experience in Computer Science, Mathematics, Physics, Engineering, Statistics, Data Science, or a related quantitative field.\n2-4 years of professional Data Scientist or Machine Learning Engineer experience.\nStrong understanding of Statistics, Machine Learning, and Deep Learning concepts, including hypothesis testing, regression, classification, optimization, and neural network architectures.\nProficiency in Python and SQL, with experience working with large datasets and relational databases.\nStrong verbal and written English communication skills, with the ability to explain sophisticated concepts and collaborate optimally across cross-functional teams.\nPreferred Qualifications\nExperience working in financial services, Fintech, capital markets, or another data-driven and highly regulated industry.\nHands-on experience building applications, solutions, or workflows using Generative AI.\nPractical experience developing, deploying, monitoring, and optimizing machine learning or deep learning models in production environments.\nThis position is located in Vilnius, Lithuania and offers the opportunity for a hybrid work environment with at least 3 days per week in-office.\nNote: The candidate is encouraged to moderately align their schedule with US East Coast working hours (10 AM - 7 PM EET/EEST).\nBenefits & Rewards\nWe offer a competitive, well-rounded rewards package crafted to support the financial, physical, and emotional well-being of our employees and their dependants.\nThe base pay range for this role is 3800 - 4800 EUR gross monthly. Actual pay depends on your skills, experience, and qualifications. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable.\nAdditional benefits include:\nEmployee Stock Purchase Plan with discounted company shares\nPension plan with Nasdaq contribution\n6 additional days off per year\nWork from (almost) anywhere - up to 20 days per year\nPaid time off to volunteer\nHealth insurance\nFree gym, yoga, and pilates classes, plus discounted in-office massages\n24/7 mental health support for you and your family\nGlobal mentoring program\nUnlimited access to e-learning platforms\nModern, comfortable office environment with fresh fruit, snacks, and weekly Fika breaks\nWe apply a structured job architecture and career framework to ensure growth opportunities are clear, fair, and accessible to all employees. The pay range reflects the full salary band for this job level, including room for progression over time.\nFor more information, visit Nasdaq Benefits & Rewards Career Page.\nIndividuals applying for or occupying this position must have no previous unspent convictions for criminal offences under the Criminal Code of the Republic of Lithuania, with the exception of offences solely related to minor road traffic violations.\nCome as You Are\nNasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.\nWe are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.\nWe ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.","description_format":"text","description_chars":4312,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Equity","Growth opportunities","Health insurance","Hybrid work"],"hiring_locations":[{"name":"Lithuania","iso":"LT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Stock Exchanges & Market Infrastructure","RegTech, AML & Compliance","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-08-07T00:00:00Z"},{"event":"close","at":"2026-08-18T06:43:02Z"},{"event":"reopen","at":"2026-09-30T12:24:27Z"}],"liveness":{"score":30,"band":"fade","label":"Fading","p_open":1,"p_active":0.676,"p_room":0.44,"age_days":55,"expected_fill_days":43,"reasons":["conf:6","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":65364,"is_top_pay":false},"html_url":"https://alion.io/job/nasdaq-data-scientist","json_url":"https://alion.io/job/nasdaq-data-scientist.json","meta":{"generated_at":"2026-10-02T00:39:30Z","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":601,"day_limit":5000,"remaining_today":4399,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}