Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 75 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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What Novartis Pharmaceuticals Corporation paid sponsored hires in similar roles23 certified filings for “Director, Forecasting-CV” (Data Scientists) in NJ: $170k–$170k, median $170k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 75 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Novartis Pharmaceuticals Corporation paid sponsored hires in similar roles
- 23 certified filings for “Director, Forecasting-CV” (Data Scientists) in NJ: $170k–$170k, median $170k. Most were filed at wage level IV (83%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
Salary Range:
€67,130.00 - €124,670.00
Job Description Summary
#LI-Hybrid
Location: Ljubljana, Slovenia / Barcelona, Spain
Vas navdušuje uporaba podatkovne znanosti in umetne inteligence za reševanje kompleksnih poslovnih izzivov in doseganje merljivega učinka?
Kot Podatkovni znanstvenik – svetnik (Associate Director, Data Science & Artificial Intelligence) boste sodelovali z različnimi poslovnimi področji, da bi razumeli kompleksne in ključne izzive ter jih pretvorili v celovite analitične pristope. Združevali boste učinkovito upravljanje podatkov, statistične metode, strojno učenje in umetno inteligenco z namenom pridobivanja uporabnih vpogledov, avtomatizacije ponovljivih procesov ter prispevanja k reševanju še neizpolnjenih medicinskih potreb.
Sodelovali boste pri upravljanju življenjskega cikla podatkov na ravni podjetja, od njihovega pridobivanja ali ustvarjanja, obogatitve in uporabe do hrambe in umika, ter zagotavljali razpoložljivost uporabnih, kakovostnih in točnih podatkov skozi njihov celoten življenjski cikel.
V sodelovanju z deležniki iz različnih delov organizacije boste kompleksne analitične ugotovitve pretvarjali v prepričljive poslovne vpoglede z učinkovito vizualizacijo, predstavitvami in podajanjem vsebin v ustreznem kontekstu. Samostojno boste sodelovali pri oblikovanju strategije, upravljanju proračunov, usklajevanju projektov ter zagotavljanju ustreznih virov na svojem področju odgovornosti.
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Are you passionate about using Data Science and Artificial Intelligence to solve complex business problems and make a measurable impact?
As Associate Director, Data Science & Artificial Intelligence, you will work across business domains to understand complex and critical challenges and translate them into integrated analytical approaches. You will combine effective data management, statistical methods, machine learning and Artificial Intelligence to generate actionable insights, automate repeatable processes and contribute to solving unmet medical needs.
You will help manage the lifecycle of enterprise data from acquisition or creation through enrichment, consumption, retention and retirement, supporting the availability of useful, clean and accurate data throughout its lifecycle.
Working with stakeholders across the organization, you will translate complex analytical findings into compelling business insights through effective visualization, presentations and contextual storytelling. You will independently help shape strategy, manage budgets, coordinate projects and ensure appropriate resourcing within your area of responsibility.
Where the role has people-management responsibility, you will empower, guide, coach and develop the team.
Job Description
Vaše ključne odgovornosti:
• Preoblikovanje načina reševanja kompleksnih poslovnih izzivov z učinkovitim upravljanjem podatkov, podatkovno znanostjo, umetno inteligenco, statističnimi metodami in strojnim učenjem.
• Pretvarjanje kompleksnih analitičnih ugotovitev v jasna priporočila za poslovne uporabnike ter uporaba učinkovite vizualizacije in pripovedovanja zgodb s podatki za vplivanje na strateške odločitve, tudi na ravni višjega poslovnega vodstva.
• Vzpostavljanje učinkovitih pristopov k upravljanju podatkov za analitične namene ter prispevanje k razvoju zmogljivosti družbe Novartis na področju upravljanja podatkov in podatkovne znanosti.
• Usklajevanje in določanje prioritet pri razporejanju virov med ključnimi pobudami ter proaktivno upravljanje spreminjajočih se zahtev, pričakovanj deležnikov, operativnih tveganj in konkurenčnih prioritet.
• Sodelovanje z internimi deležniki, medfunkcijskimi ekipami, zunanjimi partnerji in institucijami pri reševanju ključnih poslovnih izzivov ter prepoznavanju priložnosti za izboljš
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