Applied Scientist
Applied Scientist
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Job Description
We are seeking an Applied Scientist to join a collaborative machine learning product team focused on delivering innovative solutions that enhance the customer experience. This role offers the opportunity to work on largescale realworld problems and contribute to impactful projects across key business areas.
The position is part of a broader Applied Science function that designs and maintains algorithms supporting various operational and customerfacing domains. These include recommendations search marketing pricing and forecasting with the scope continuously evolving to address new challenges. The team builds machine learning models at scale drawing on rich data sources to drive meaningful outcomes.
Key Responsibilities
Collaborate within a crossfunctional team to develop and deploy largescale machine learning systems.
Lead the implementation and scaling of algorithms with measurable business impact.
Design and conduct experiments to validate models and inform product direction.
Stay current with developments in the field through research reading groups and prototype testing.
Contribute to ongoing improvements in code quality infrastructure and feature development.
Participate in learning opportunities knowledgesharing sessions and technical events.
Promote diversity equity and inclusion in both team culture and work practices.
Qualifications :
About You
Demonstrated experience applying machine learning in production environments.
Depending on the teams focus relevant experience could include areas such as deep learning forecasting optimization recommender systems causal inference or Bayesian methods.
Proficiency in programming languages used in machine learning and familiarity with common frameworks.
Solid grasp of statistical methods and software development best practices.
Ability to work independently manage timelines and deliver prototypes or models aligned with business needs.
Strong collaboration skills and comfort working across technical and nontechnical roles.
An interest in research and innovation with any publications in reputable machine learning venues considered a plus.
Additional Information :
BeneFITS
Competitive compensation and performancerelated bonuses
Professional development and career growth support
Generous paid leave including additional personal celebration days
Flexible benefits allowance
Access to learning resources and internal knowledgesharing events
Employee perks and wellness support options
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
