**Experienced Full Stack Data Scientist – Retail Operations Optimization and Machine Learning Algorithm Development**

**Job Summary:** We are seeking an experienced full stack data scientist to join our team and lead the improvement and implementation of machine learning algorithms that drive business growth and optimize retail operations. As a key member of our data science team, you will be responsible for developing and deploying predictive models, analyzing complex data sets, and collaborating with cross-functional teams to drive business outcomes. If you have a passion for data science, machine learning, and retail operations, and are looking for a challenging and rewarding role, we encourage you to apply. **About Us:** Our company is a leading provider of retail operations solutions, and we are committed to using data science and machine learning to drive business growth and improve customer experiences. We are a dynamic and innovative company that values collaboration, creativity, and continuous learning. Our team is passionate about using data science to solve complex business problems and drive business outcomes. **Key Responsibilities:** * Develop and deploy predictive models using machine learning algorithms to drive business growth and optimize retail operations * Analyze complex data sets to identify trends, patterns, and insights that inform business decisions * Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to drive business outcomes * Develop and maintain data pipelines and architectures to support data science initiatives * Work with Hive or Hadoop, machine learning, text mining, and Spark to develop and deploy data science solutions * Participate in the development and implementation of analytical and data science modeling solutions using strategies such as data mining, machine learning, or text mining * Apply mathematical concepts, algorithms, and computational complexity to develop and deploy data science solutions * Provide findings and recommendations to stakeholders, including business leaders and product managers * Develop and maintain data visualizations and reports to communicate insights and recommendations to stakeholders **Essential Qualifications:** * Master's degree in Mathematics, Statistics, or a closely related quantitative field, or Ph. D. in Mathematics, Statistics, or a closely related quantitative field * At least 7 years of experience as a data scientist or machine learning scientist, including experience with advanced machine learning activities (regression, clustering, and forecasting) * Experience with data mining, machine learning, or text mining, and the ability to apply mathematical concepts, algorithms, and computational complexity to develop and deploy data science solutions * Experience with Python, SQL, R, SAS, risk evaluation, and data manipulation * Experience with Hive or Hadoop, machine learning, text mining, and Spark * Experience with data visualization tools, such as Tableau or Power BI * Strong analytical and problem-solving skills, with the ability to communicate complex insights and recommendations to stakeholders **Preferred Qualifications:** * Experience with deep learning, natural language processing, and computer vision * Experience with cloud-based data platforms, such as AWS or GCP * Experience with containerization, such as Docker * Experience with DevOps practices, such as continuous integration and continuous deployment * Experience with agile development methodologies, such as Scrum or Kanban * Experience with data governance and data quality initiatives **Skills and Competencies:** * Strong analytical and problem-solving skills, with the ability to communicate complex insights and recommendations to stakeholders * Experience with data mining, machine learning, or text mining, and the ability to apply mathematical concepts, algorithms, and computational complexity to develop and deploy data science solutions * Experience with Python, SQL, R, SAS, risk evaluation, and data manipulation * Experience with Hive or Hadoop, machine learning, text mining, and Spark * Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams * Experience with data visualization tools, such as Tableau or Power BI * Strong analytical and problem-solving skills, with the ability to communicate complex insights and recommendations to stakeholders **Career Growth Opportunities and Learning Benefits:** * Opportunities for career growth and advancement, including leadership roles and specialized areas of focus * Access to training and development programs, including online courses, workshops, and conferences * Opportunities to work on high-impact projects and initiatives, with the ability to make a meaningful impact on the business * Collaborative and dynamic work environment, with a focus on innovation and continuous learning * Opportunities to work with a diverse range of stakeholders, including business leaders, product managers, and engineers **Work Environment and Company Culture:** * Our company is a dynamic and innovative organization that values collaboration, creativity, and continuous learning * We are committed to creating a work environment that is inclusive, diverse, and supportive of all employees * We offer a range of benefits, including flexible work arrangements, professional development opportunities, and a comprehensive benefits package * We are a remote-friendly company, with opportunities to work from home or in our offices **Compensation, Perks, and Benefits:** * Competitive salary and bonus structure * Comprehensive benefits package, including health, dental, and vision insurance * Flexible work arrangements, including remote work options * Professional development opportunities, including training and development programs * Access to cutting-edge technology and tools * Collaborative and dynamic work environment, with a focus on innovation and continuous learning **How to Apply:** If you are a motivated and experienced data scientist with a passion for retail operations and machine learning, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter that highlights your experience and qualifications. We look forward to hearing from you!