Lead Data Scientist - Advanced Analytics and AI Solutions for Retail Innovation

Join the Future of Retail with Target's Data Science Team Imagine being at the forefront of retail innovation, where data science and artificial intelligence converge to revolutionize the shopping experience. As a Lead Data Scientist at Target, you will be part of a dynamic team that harnesses the power of advanced analytics and AI to drive business growth, enhance customer engagement, and streamline operations. If you're passionate about using data to tell stories and drive business outcomes, we invite you to embark on this exciting journey with us. About Target Target is a multinational retailing corporation that operates a chain of general merchandise stores, offering a wide range of products, from clothing and electronics to home goods and groceries. With a strong commitment to innovation and customer satisfaction, Target has become one of the leading retailers in the United States. Our company culture values diversity, inclusion, and community engagement, providing a supportive and collaborative work environment that encourages growth and development. Job Summary We are seeking an exceptional Lead Data Scientist to lead the development and implementation of advanced mathematical and statistical models that solve complex business problems in retail. As a Lead Data Scientist, you will be responsible for transforming retail operations by automating manual processes and decision-making through the application of mathematical and statistical models. You will collect, organize, analyze, interpret, and summarize large amounts of time-series data to generate key insights that drive innovative applications. Key Responsibilities: Lead the development and implementation of advanced mathematical and statistical models to solve complex business problems in retail. Transform retail operations by automating manual processes and decision-making through the application of mathematical and statistical models. Collect, organize, analyze, interpret, and summarize large amounts of time-series data to generate key insights that drive innovative applications. Analyze complex and rich data, examine business problems, develop problem statements, define metrics, and drive feasibility studies. Perform data exploration tasks, extract insights, and create storyboards from data analysis. Present clear and accurate root-cause analysis to data scientists and leadership. Build training workflows for machine learning algorithms on large datasets and create algorithmic solutions, including data science, feature engineering, model development, validation, and model deployment. Lead and develop large-scale implementations of machine learning models and algorithmic solutions using rich retail data sources. Review model performance and identify improvements to enhance models. Collaborate with global AI teams, scientists, engineers, and business partners to identify and lead new opportunities. Requirements Education: At least a Master's degree in Mathematics, Statistics, or a closely related quantitative field, and at least seven (7) years of experience as a data or machine learning scientist (any title) including: Undertaking advanced machine learning activities (regression, clustering, and forecasting). Using the development and implementation of analytical and data science modeling solutions through the use of strategies, including data mining, machine learning, or text mining. Using mathematical concepts, algorithms, and computational complexity. Participating with colleagues to bring business value to the organization. Imparting findings and reports to stakeholders. Using Python, SQL, R, SAS, risk assessment, and data manipulation. Alternatively, a doctoral (PhD) degree in Mathematics, Statistics, or a closely related quantitative field, and at least four (4) years of experience as a data or machine learning scientist (any title) including: Undertaking advanced machine learning activities (regression, clustering, and forecasting). Using the development and implementation of analytical and data science modeling solutions through the use of strategies, including data mining, machine learning, or text mining. Using mathematical concepts, algorithms, and computational complexity. Participating with colleagues to bring business value to the organization. Imparting findings and reports to stakeholders. Using Python, SQL, R, SAS, risk assessment, and data manipulation. Skills and Competencies: Strong background in mathematics, statistics, or a related quantitative field. Proficiency in machine learning, data mining, and statistical modeling. Experience with programming languages, including Python, SQL, R, SAS, and Java. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to work in a fast-paced, dynamic environment. What We Offer Compensation and Benefits: We offer a competitive salary range of $35 to $50 per hour, depending on experience. Our comprehensive benefits package includes: Medical, dental, and vision insurance. 401(k) retirement plan with company match. Paid time off and holidays. Opportunities for professional growth and development. Career Growth Opportunities: At Target, we are committed to the growth and development of our employees. As a Lead Data Scientist, you will have opportunities to: Lead projects and teams. Develop and implement new data science solutions. Collaborate with cross-functional teams. Participate in training and development programs. Work Environment and Culture: Our work environment is collaborative, dynamic, and supportive. We value diversity, inclusion, and community engagement. As a remote worker, you will have the flexibility to work from anywhere in the United States. How to Apply If you are a motivated and talented data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you are the ideal candidate for this role. Apply now and join the future of retail innovation! Apply for this job