We are seeking a highly motivated Senior Research Scientist to develop innovative AI and optimization solutions that address complex business challenges and contribute directly to product innovation.
This role combines hands-on research, advanced modeling, and technical leadership. The successful candidate will lead research projects, drive adoption of emerging technologies, and mentor junior team members while collaborating closely with engineering, product, and business stakeholders.
Candidates should possess strong expertise in at least one of the following domains:
Track A – Data Science & Artificial Intelligence
- Large Language Models (LLMs)
- Agentic AI Systems
- Audio Processing and Speech AI
- Machine Learning and Deep Learning
- Multimodal Learning
- Generative AI
Track B – Combinatorial Optimization & Operations Research
- Mathematical Optimization
- Mixed-Integer Programming (MIP)
- Constraint Programming
- Heuristics and Metaheuristics
- Network Optimization
- Scheduling and Resource Allocation
- Decision Analytics
NATURE OF WORK
Research & Innovation
- Lead applied research projects from concept through production deployment.
- Evaluate and adapt state-of-the-art techniques to solve business problems.
- Design novel models, algorithms, and decision systems.
- Conduct experiments and validate hypotheses using rigorous scientific methodologies.
- Identify opportunities where AI and optimization can create business value.
Technical Leadership
- Serve as a technical lead for major research initiatives.
- Translate business requirements into machine learning, AI, or optimization solutions.
- Define evaluation methodologies and performance benchmarks.
- Review technical designs and provide guidance to team members.
- Promote best practices in experimentation, reproducibility, and model governance.
Cross-Functional Collaboration
- Communicate complex technical findings to technical and non-technical audiences.
- Support deployment and monitoring of production systems.
- Contribute to technology roadmaps and innovation initiatives.
Talent Development
- Mentor junior data scientists and researchers.
- Contribute to technical training and knowledge sharing.
- Support recruitment and onboarding of technical talent.
REQUIRED QUALIFICATIONS
Education
- Bachelor or higher in Computer Science, Operations Research, Mathematics, Statistics, Engineering, Artificial Intelligence, or a related quantitative discipline.
Experience
- 5–8 years of experience in data science, machine learning, AI, optimization, or related fields.
- Proven experience delivering complex technical projects from research to production.
- Experience leading technical workstreams or research initiatives.
- Demonstrated ability to work independently on ambiguous and challenging problems.
Leadership Attributes
- Strong analytical and problem-solving skills.
- Scientific rigor and curiosity.
- Ability to influence technical decisions through expertise and collaboration.
- Strong communication skills across technical and business audiences.
- Ability to independently drive complex projects with limited supervision.
