**Experienced Lead Data Scientist – Retail Business Intelligence & AI Model Development**

Are you a data science expert with a passion for driving business growth through data-driven insights? Do you have a strong background in machine learning, statistical modeling, and data analysis? Are you looking for a challenging and rewarding role that will allow you to leverage your skills to make a significant impact on a global retail leader? If so, we have an exciting opportunity for you to join blithequark as a Lead Data Scientist. **About blithequark** blithequark is a leading retail company that is committed to delivering exceptional customer experiences through innovative technology and data-driven insights. Our team of experts is dedicated to using data science and AI to drive business growth, improve operational efficiency, and enhance customer satisfaction. We are a dynamic and collaborative organization that values creativity, innovation, and teamwork. **Job Summary** As a Lead Data Scientist at blithequark, you will be responsible for leading the development and implementation of advanced data science and AI models that drive business growth and improve operational efficiency. You will work closely with cross-functional teams to identify business opportunities, develop data-driven solutions, and implement AI-powered models that drive business outcomes. You will also be responsible for mentoring and guiding junior data scientists, providing technical guidance and support, and staying up-to-date with the latest advancements in data science and AI. **Key Responsibilities** * Lead the development and implementation of advanced data science and AI models that drive business growth and improve operational efficiency * Collaborate with cross-functional teams to identify business opportunities, develop data-driven solutions, and implement AI-powered models that drive business outcomes * Develop and maintain complex statistical models, machine learning algorithms, and data pipelines to support business decision-making * Work with large datasets to identify trends, patterns, and insights that inform business strategy and drive growth * Develop and maintain data visualizations, reports, and dashboards to communicate insights and results to stakeholders * Mentor and guide junior data scientists, providing technical guidance and support * Stay up-to-date with the latest advancements in data science and AI, and apply this knowledge to drive business growth and innovation * Collaborate with the data engineering team to design and implement data pipelines and architectures that support business needs * Work with the product development team to integrate data science and AI models into product features and applications **Essential Qualifications** * Bachelor's degree in Math, Statistics, or a related quantitative field, or equivalent experience * At least 7 years of experience as a data or AI researcher, including participating in advanced AI exercises (regression, clustering, and forecasting) * Experience leading the development and execution of scientific and data science modeling arrangements using methods including data mining, AI or text mining * Strong background in numerical ideas, calculations, and computational complexity * Experience collaborating with associates to bring business value to the organization * Experience presenting findings and reports to partners * Proficiency in Python, SQL, R, SAS, risk analysis, and data control * Experience working with large volumes of data and tackling business issues * Experience with data science tools and technologies, including Hive or Hadoop, AI, text mining, and Flash **Preferred Qualifications** * Doctorate (PhD) degree in Math, Statistics, or a related quantitative field * At least 4 years of experience as a data or AI researcher, including participating in advanced AI exercises (regression, clustering, and forecasting) * Experience with data science tools and technologies, including Hive or Hadoop, AI, text mining, and Flash * Experience with cloud-based data platforms, such as Amazon Web Services (AWS) or Microsoft Azure * Experience with containerization and orchestration tools, such as Docker and Kubernetes * Experience with machine learning frameworks, such as TensorFlow or PyTorch **Skills and Competencies** * Strong analytical and problem-solving skills * Excellent communication and collaboration skills * Ability to work in a fast-paced environment and prioritize multiple tasks and projects * Strong technical skills, including proficiency in Python, SQL, R, SAS, risk analysis, and data control * Experience with data visualization tools, such as Tableau or Power BI * Experience with cloud-based data platforms, such as Amazon Web Services (AWS) or Microsoft Azure * Experience with containerization and orchestration tools, such as Docker and Kubernetes * Experience with machine learning frameworks, such as TensorFlow or PyTorch **Career Growth Opportunities and Learning Benefits** * Opportunities for career growth and advancement in a dynamic and innovative organization * Access to training and development programs to enhance technical skills and knowledge * Collaborative and supportive work environment that encourages creativity and innovation * Opportunities to work on high-impact projects that drive business growth and innovation * Access to cutting-edge technologies and tools to stay up-to-date with the latest advancements in data science and AI **Work Environment and Company Culture** * Work from home from any location in the U.S. * Collaborative and supportive work environment that encourages creativity and innovation * Dynamic and fast-paced environment that requires adaptability and flexibility * Opportunities to work on high-impact projects that drive business growth and innovation * Access to cutting-edge technologies and tools to stay up-to-date with the latest advancements in data science and AI **Compensation, Perks, and Benefits** * Competitive salary range of $20-$30/hour * Comprehensive benefits package, including medical, dental, and vision insurance * 401(k) retirement plan with company match * Paid time off and holidays * Access to training and development programs to enhance technical skills and knowledge * Opportunities for career growth and advancement in a dynamic and innovative organization **How to Apply** If you are a motivated and experienced data scientist with a passion for driving business growth through data-driven insights, we encourage you to apply for this exciting opportunity to join blithequark as a Lead Data Scientist. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you! Apply for this job