This role has closed. Jobgether has taken the posting down.
hirly last saw it live on 23 September 2026. See similar open roles below, or browse all Data Scientist jobs.
Jobgether
Data Scientist
US
Similar open jobs
- Data Scientist (AI)Securities and Exchange Commission · Washington, District of Columbia, United StatesFirst seen today
- Data ScientistWien Energie GmbH · Wien,Landstraße, AustriaFirst seen today
- Data ScientistWesco · Bangalore, Karnataka, IndiaFirst seen today
- Data ScientistEXL · Bengaluru, Karnataka, IndiaFirst seen today
- Data ScientistEXL · Noida, Uttar Pradesh, IndiaFirst seen today
- Associate Data Scientist (m/w/d)IBM · Multiple Cities, GermanyFirst seen today
- Data Scientist-Advanced AnalyticsIBM · Islamabad, PakistanFirst seen today
- Data Scientist - Pharma & Life SciencesCapgemini Engineering · Roma, ITFirst seen today
- AI Builder / Data Scientist (Bordeaux)Talan · Bordeaux, Nouvelle-Aquitaine, FranceFirst seen today
- AI Engineer / Data Scientist (Toulouse)Talan · Toulouse, Occitanie, FranceFirst seen today
- Data Scientist Insuranceinsider · Sofia, Sofia CityFirst seen today
- STAGE Toulouse - Ingénieur Data Scientist – F/HThales · Toulouse Basso CamboFirst seen today
- Data Scientist IITd · Toronto, OntarioFirst seen today
- Data Scientist IITd · Toronto, OntarioFirst seen today
- IN_Senior Associate_Data Scientist _GCC_Advisory_BangalorePwc · Bengaluru MilleniaFirst seen today
hirly's read of this role
- Role family
- Data & ML
- Seniority
- Mid level
- Work mode
- On-site / unstated
- First seen by hirly
- 21 Sept 2026
Derived automatically from the posting.
the posting
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist based in United States.
This role focuses on solving complex resource allocation challenges through advanced optimization and machine learning. You will design models that help allocate scarce parts and resources across competing programs while balancing operational constraints and business priorities. Working across the full modeling lifecycle, you will move from problem formulation and data exploration to validation and production deployment. The position combines rigorous quantitative analysis with practical collaboration across program and supply-chain stakeholders. You will work with real-world data to develop forecasting capabilities that inform critical allocation decisions. This is an opportunity to apply advanced data science techniques to high-impact problems where model quality, explainability, and business value matter.