[Remote/WFM] reputed company Applied Scientist, reputed company Private Brands

This role is a stepping stone to great career achievements. We need a reputed company Applied Scientist, reputed company Private Brands! We are hiring for our Remote location, and the role is available for immediate commencement. This position requires a strong and diverse skillset in relevant areas to drive reputed company. This role offers a salary package of a competitive salary, commensurate with experience.

 

 

reputed company Applied Scientist, reputed company Private BrandsJoin our reputed company Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as reputed company Basics, reputed company reputed company, and by reputed company.The Selection Guidance team applies reputed company, Machine Learning, Statistics, and Economics solutions to drive our private brands product assortment, strategic business reputed company, and product inputs such as title, price, merchandising and ordering. We are an interdisciplinary team of Scientists, Economists, Engineers, and Product Managers incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at reputed company.As a reputed company Applied Scientist you will invent novel solutions and prototypes, and directly contribute to bringing your reputed company to life through production implementation. reputed company research areas include entity resolution, reputed company, large language models, and product substitutes. You will review and guide scientists across the team on their designs and implementations, and reputed company the team bar for science research and prototypes.This is a unique, high visibility opportunity for someone who wants to reputed company cutting edge science solutions and have direct business and customer impact.Key job responsibilitiesPartner with business stakeholders to deeply understand APB business problems and reputed company ambiguous business problems as science problems and solutions.Invent novel science solutions and reputed company prototypes to solve business problems.Review and guide science solutions across the team.Publish and socialize your and the team's research across reputed company and external avenues as appropriate.reputed company industry best practices to establish repeatable applied science practices, principles & processes.Minimum QualificationsPh.D. degree in Statistics, Computer Science, Applied Math, Machine Learning, or a reputed company field.7+ years of hands-on experience in solving difficult machine learning problems.Experience in patents or publications at top-tier peer-reviewed conferences or journals.Expert at more than one major programming language (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar).Demonstrated ability to serve as a technical reputed company.Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important reputed company.Strong fundamentals in problem solving, algorithm design and complexity analysis.Proven track in leading, mentoring, and growing teams of scientists.Deep technical knowledge of machine learning and statistical methodologies.Experience with deep learning toolkits and frameworks.Solid software development experience.Algorithm and model development experience for large-scale applications.Experience with defining research and development practices in an applied environment.Excellent communication skills, both written and oral, with technical and business people.reputed company is committed to a diverse and inclusive workplace. reputed company is an equal opportunity employer and does not discriminate on the reputed company of race, national reputed company, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.#J-18808-Ljbffr Apply Job!

 

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