Senior Data Scientist (Remote)
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Role details
Tech stack
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Job description
In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning.
What You’ll Do
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Lead exploratory data analysis to cull actionable insights
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Collaborate with stakeholders to understand business requirements and translate them into technical solutions
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Develop and implement statistical and machine learning models
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Fine-tune, optimize and ensure the scalability of models and algorithms
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Aid in designing experiments to answer targeted questions
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Identify and drive continuous improvement of key business metrics in an assigned business functional area
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Drive adoption and usage of data science products and models
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Translate data science outputs into business outcomes and value delivered
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Mentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and development
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Stay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl’s
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Additional tasks may be assigned
Requirements
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Experience with recommendation systems, search, or ranking problems at scale of millions of customers and products
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Experience in developing sequential, transformer models and utilizing LLM models in production
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Understanding of collaborative filtering and learning-to-rank methods
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Experience optimizing models for GPU / distributed training
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Familiarity with large-scale datasets and production ML systems
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Exposure to real-time or low-latency serving environments
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Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred
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Experience with delivering end to end customized ML models in production environment
Required
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Bachelor’s Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
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3+ years of progressively complex data science experience
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Extensive experience developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods
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Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R, Spark, SQL, GCP, etc.)
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Strong problem-solving skills with an emphasis on product development
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Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly
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Effective communication and collaboration skills at all levels
Preferred
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Master’s degree and/or Ph.D.
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Retail and Logistics experience
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Supply chain management
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Marketing models
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