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8,578

Design jobs in United States

Senior Decision Scientist

Visionary Tech Services LLC

United Arab Emirates
On-site
AED 300,000 - 400,000
26 days ago
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Senior Technician - Structures

AECOM

Abu Dhabi
On-site
AED 120,000 - 150,000
26 days ago

Manager, Capital Projects & Infrastructure

Teneo

Dubai
On-site
AED 120,000 - 200,000
28 days ago

VIE Commissioning Engineer (Consultant)

Alpin

Dubai
On-site
AED 150,000 - 200,000
28 days ago

Marketing Manager, TMEA

Tate & Lyle

United Arab Emirates
Hybrid
AED 150,000 - 200,000
28 days ago
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Senior Software Engineer - Java

Emirates Airlines - Other locations

Dubai
On-site
AED 120,000 - 200,000
28 days ago

Fitout Designer Mall

Adecco

Dubai
On-site
AED 120,000 - 200,000
28 days ago

Senior Manager Employee Care

Caliberly

Dubai
On-site
AED 120,000 - 200,000
28 days ago
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Sr Project Manager

Hill International

Abu Dhabi
On-site
AED 120,000 - 200,000
28 days ago

Graphic Designer (UAE National)

Parsons Oman

Abu Dhabi
On-site
AED 60,000 - 80,000
28 days ago

Software Engineer – Android

ENTERTAINER FZ LLC

Dubai
On-site
AED 200,000 - 300,000
29 days ago

ArtworkerRetoucher

ITP Media Group

Dubai
On-site
AED 60,000 - 120,000
29 days ago

Hydraulic Engineer (Fire Trucks)

NAFFCO

Dubai
On-site
AED 120,000 - 200,000
29 days ago

Director, Strategy & Commercial Advisory

Trivandi Ltd

Abu Dhabi
On-site
AED 200,000 - 300,000
29 days ago

VP of Engineering

ClearGrid

Dubai
On-site
AED 350,000 - 450,000
29 days ago

SENIOR CREATIVE LEAD - EVENT AGENCY (LONG-TERM FREELANCE CONTRACT) - (f/m/d)

Egg

Dubai
On-site
AED 60,000 - 80,000
29 days ago

Business Head - Aluminium (Perfume/Cosmetics)

"BD SELECT"

Dubai
On-site
AED 200,000 - 300,000
29 days ago

HRBP(Dubai)

Thomsun InfoCare

Dubai
On-site
AED 250,000 - 350,000
29 days ago

Senior Manager/Associate Director, Strategy & Commercial Advisory

Trivandi Ltd

Abu Dhabi
On-site
AED 120,000 - 200,000
29 days ago

Senior Communication Project Engineer (Saudi Arabia)

Eram Talent

United Arab Emirates
On-site
AED 200,000 - 300,000
29 days ago

Senior Technology Engineer

Whiteshield

United Arab Emirates
On-site
AED 150,000 - 200,000
29 days ago

Graphic Designer & Photographer

Naffco

Dubai
On-site
AED 120,000 - 200,000
29 days ago

Senior Sustainability Consultant and Sustainability Consultant | Sustainability (UAE)

Alpin

Abu Dhabi
On-site
AED 275,000 - 349,000
29 days ago

Façade Project Engineer

Meraki Group

United Arab Emirates
On-site
AED 120,000 - 150,000
29 days ago

Manager, Brand

ACORNSTRATEGY

Abu Dhabi
On-site
AED 250,000 - 350,000
29 days ago
Senior Decision Scientist
Visionary Tech Services LLC
United Arab Emirates
On-site
AED 300,000 - 400,000
Full time
26 days ago

Job summary

A leading tech company in the United Arab Emirates is seeking a Senior Decision Scientist to design and deliver complex decision systems. You will transform ambiguous goals into robust models while leading optimisation and simulation efforts to drive value for clients. Ideal candidates will have significant experience in decision solutions, strong skills in Python and SQL, and the ability to communicate effectively with stakeholders.

Qualifications

  • 6+ years practical experience with optimisation and simulation.
  • Demonstrated ownership of end-to-end decision solutions.
  • Proficient in Python and SQL with strong engineering practices.

Responsibilities

  • Lead discovery to define decision objectives, constraints, KPIs, and data readiness.
  • Design modular architectures and combine optimisation, simulation, and causal evidence.
  • Implement core models, performance-tune solvers/simulators.

Skills

Optimisation
Simulation
Causal inference
Python
SQL
Mentoring

Education

Bachelor’s or Master’s in Operations Research, Econometrics, Industrial Engineering, Applied Mathematics, Data Science
Job description
Role Summary

As a Senior Decision Scientist at VTS, you will own the design and delivery of complex decision systems. You’ll lead the translation of ambiguous goals into robust models and decision products, combining optimisation, simulation, causal evidence and GenAI to inform policy and automation and realise value for our clients.

Qualifications
  • Bachelor’s or Master’s in Operations Research, Econometrics, Industrial Engineering, Applied Mathematics, Data Science, or a related quantitative field. PhD preferred.
  • 6+ years practical experience with optimisation (LP/MILP, heuristics) and simulation (DES/ABM), plus working knowledge of causal inference or experimentation at scale.
  • Demonstrated ownership of end‑to‑end decision solutions in production or pilots.
  • Proficient in Python and SQL with strong engineering practices; comfortable with containers and CI/CD; experience integrating models into services, workflows, or apps.
  • Able to choose and justify methods, diagnose performance, and communicate trade‑offs to technical and non‑technical stakeholders.
  • Experience mentoring others and establishing modelling standards and review practices.
Responsibilities
  • Problem framing: Lead discovery to define decision objectives, constraints, KPIs, and data readiness; quantify expected value and risks.
  • Architecture and methods: Select modelling approaches, design modular architectures, and combine optimisation, simulation, and causal evidence when appropriate.
  • Build and scale: Implement core models, performance‑tune solvers/simulators, and integrate with data pipelines, APIs, and front‑end experiences.
  • Experimentation and evaluation: Design robust experiments or quasi‑experiments; set evaluation protocols, stress tests, and rollback plans.
  • Reuse and standards: Create reusable components, templates, and documentation; uplift code quality, testing, and observability.
  • Stakeholder leadership: Run technical workshops, translate insights into decisions, and drive adoption with clear narratives and visuals.
  • Mentorship: Review associate work, coach on method selection and design, and help set sprint scope and acceptance criteria.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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