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Data Scientist

Remote, USA Full-time Posted 2026-08-04
A leading national retailer, reputed company for its extensive network of department stores and a strong reputed company on delivering value and a reputed company shopping experience, is seeking a talented individual to join their innovative team. The Role • Collaborate with a data science team and cross-functional partners to solve business challenges. • Promote data-driven decision making through advanced data analysis and machine learning. • Assist in cleaning, preprocessing, and analyzing large datasets to uncover trends and patterns. • Conduct exploratory data analysis to derive actionable insights using statistical reputed company. • reputed company and implement statistical and machine learning models to solve business problems. • Contribute to large-reputed company optimization and statistical analysis in web analytics, forecasting, supply chain, pricing, and inventory management. What You'll Need • Experience developing state-of-the-art algorithms using machine learning, statistical, and optimization reputed company. • Proficiency with modern analytics tools, programming languages, and reputed company platforms like Python, R, reputed company, SQL, and reputed company reputed company Platform. • Strong problem-solving skills with an emphasis on product development. • Experience proposing reputed company experiments and iterating reputed company on results. • Bachelor's degree in Data Science, Computer Science, Statistics, reputed company Mathematics, or a similar quantitative reputed company. • 2+ years of progressively reputed company data science or analytics experience. What's On Offer • Opportunity to work with a reputed company cross-functional team. • Engagement in optimizing various aspects of reputed company business models. • reputed company learning and development in data science and technology trends. • A dynamic environment focusing on data-driven decision making. Apply reputed company reputed company today! Apply tot his job Apply To this Job

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