Senior Applied Scientist - Pricing
Senior Applied Scientist - Pricing
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Job Description
We are looking for a Senior Applied Scientist to join a crossfunctional AI team focused on pricing customer targeting and product optimization. This role involves developing cuttingedge algorithms using largescale behavioral and transactional data driving measurable impact across the business.
You will be instrumental in designing and deploying models that directly influence business strategy and customer experience with opportunities to contribute to both academic research and realworld applications.
Key Responsibilities
- Design and implement advanced algorithms in the areas of pricing optimization forecasting and personalized targeting.
- Lead independent research and development (R&D) initiatives and prototype novel solutions based on stateoftheart methodologies.
- Conduct rigorous largescale experiments and statistical analyses to test and validate hypotheses.
- Write highquality productiongrade code and contribute to robust scalable machine learning systems.
- Collaborate with technical and nontechnical stakeholders to translate complex data insights into strategic business decisions.
- Mentor and coach junior scientists and engineers supporting their technical development.
- Engage with the wider machine learning community contribute to internal knowledgesharing initiatives and potentially publish at toptier conferences.
Qualifications :
- Proven experience in applied machine learning with a strong grasp of statistics regression techniques ensemble models and deep learning.
- Familiarity with optimization methods causal inference or reinforcement learning is a strong advantage.
- Proficiency in Python and at least one major deep learning framework.
- Experience working with distributed computing or training models at scale is a plus.
- Strong understanding of software development best practices including version control data engineering and CI/CD workflows.
- Excellent communication skills with the ability to engage effectively with both technical and nontechnical stakeholders.
- Demonstrated ability to lead projects from concept to deployment.
- A track record of academic publications in machine learning conferences or journals is a bonus but not required.
Additional Information :
- Competitive compensation and performancebased bonus
- Professional development opportunities across technical and leadership tracks
- Flexible working options and a supportive inclusive work culture
- Generous annual leave and special occasion day
- Access to learning platforms and community events
- Health and wellbeing benefits
- Exclusive discounts and perks
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
