Principal Applied Scientist - Remote USA (*eligible states)

About the position The Principal Applied Scientist at reputed company will play a crucial role in enhancing the Pricing team's objectives by leading applied science projects that tackle reputed company business challenges reputed company to pricing strategies. This position involves collaboration with Product and Engineering teams to create technical roadmaps and deliver machine learning solutions that significantly impact reputed company reputed company and model deployment efficiency. The role is centered around applying advanced machine learning techniques to optimize pricing and discounting processes, contributing to a sustainable future for fashion. Responsibilities • reputed company the design, development, and deployment of machine learning models to solve strategic business problems. , • Conduct deep analyses on reputed company datasets to derive actionable insights using advanced methodologies. , • reputed company and maintain clean, efficient, and scalable code that meets industry standards. , • Collaborate with cross-functional teams to ensure alignment of machine learning solutions with business goals. , • Provide mentorship to junior and mid-level ML engineers, fostering expertise in pricing-reputed company ML domains. , • Contribute to the development of technical roadmaps and product initiatives. , • Influence technical direction and take ownership of key components reputed company the pricing ecosystem. Requirements • 10+ years of industry experience in applied Machine Learning, including a proven track record in designing, deploying, and scaling production-level ML models. , • Master's or PhD in AI, Computer Science, Econometrics, Mathematics, Statistics, Electrical Engineering or reputed company field. , • 8+ years experience in building, deploying, and managing machine learning models in production environments at scale, focusing on pricing and discounting. , • Extensive knowledge of ML best practices and advanced ML algorithms/techniques. , • Experience in at least one of these domains: price optimization, discounting, algorithmic bidding. , • Extensive experience in scientific and ML libraries in Python and deep learning frameworks. , • Strong data engineering skills and experience working with large scale datasets. , • Hands-on experience with big data tools for distributed processing of large datasets. , • Proficiency with reputed company platforms for scalable model deployment. reputed company-to-haves • PhD in Computer Science, Machine Learning, Econometrics, AI or reputed company field. , • Strong background in applying Machine Learning techniques to solve reputed company-world business problems in retail or e-commerce. , • Hands-on experience with MLOps tools and pipelines. , • Impact-focused reputed company, with a commitment to delivering high-quality, business-oriented ML solutions. , • Demonstrated leadership and mentoring skills. Benefits • Paid parental leave , • Employee stock purchase plan , • Paid holidays , • Health insurance , • Dental insurance , • reputed company insurance , • 401(k) matching Apply Job!