5 days ago
Senior Applied Scientist, Amazon Pay
IN, KA, Bengaluru
Amazon Pay Data and Analytics team is looking for an experienced Senior Applied Scientist with excellent ML/science technical skills. If you are a self-starter, someone who thrives in a fast-paced environment, with a passion for building scalable long-term solutions, then you are the right candidate for our team. In this role, the candidate would work closely with tech teams and product/program across US, EU and JP to build scalable ML/science models. You will be responsible for driving innovation across a wide range of science initiatives, from natural language processing and conversational AI to econometric modeling and ROI-based optimization.
The position is based in Bangalore. We are looking for someone who can familiarize themselves with a dynamic environment, build relationships with cross-functional teams, and assume ownership for a broad array of domains. Our team achieves results through collaboration and clear goals.
Key job responsibilities
- Drive and lead strategic initiatives to employ the most recent advances in ML/AI in a fast-paced, experimental environment
- Build AI/ML models to generate actionable insights for the business
- Create tools and solve challenges using machine learning, optimization, and/or other approaches for quantifiable impact on the business
- Use broad expertise to recommend the right strategies, methodologies, and best practices, teaching and mentoring others
- Key influencer of your team’s business strategy and of related teams’ strategies
- Communication and documentation of methodologies, insights, and recommendations for senior leaders with various levels of technical knowledge
The position is based in Bangalore. We are looking for someone who can familiarize themselves with a dynamic environment, build relationships with cross-functional teams, and assume ownership for a broad array of domains. Our team achieves results through collaboration and clear goals.
Key job responsibilities
- Drive and lead strategic initiatives to employ the most recent advances in ML/AI in a fast-paced, experimental environment
- Build AI/ML models to generate actionable insights for the business
- Create tools and solve challenges using machine learning, optimization, and/or other approaches for quantifiable impact on the business
- Use broad expertise to recommend the right strategies, methodologies, and best practices, teaching and mentoring others
- Key influencer of your team’s business strategy and of related teams’ strategies
- Communication and documentation of methodologies, insights, and recommendations for senior leaders with various levels of technical knowledge