**Experienced Full Stack Data Scientist – Web & Cloud Application Development at blithequark**

Are you ready to revolutionize the retail industry with your data science expertise? Do you have a passion for leveraging cutting-edge technologies to drive business growth and customer satisfaction? Look no further than blithequark, where we're pushing the boundaries of innovation and excellence in data-driven decision making. As a Staff Data Scientist on our Data Ventures team, you'll play a critical role in empowering our US stores and eCommerce business to better serve customers through technological innovation. With a focus on customer data science initiatives, you'll work closely with cross-functional teams to develop and deploy data-driven solutions that drive business outcomes and improve customer experiences. **About blithequark** At blithequark, we're committed to helping people save money and live better – and that's the inspiration behind every decision we make, from responsible sourcing to sustainability. As a blithequark associate, you'll be part of a dynamic team that's shaping the future of retail, tech, merchandising, finance, and more – all while making a meaningful impact on the lives of millions of customers around the world. **Job Responsibilities** As a Staff Data Scientist, you'll be responsible for: * **Data Source Identification**: Identifying and defining the most suitable data sources for required information, collaborating with external partners as needed, and performing preliminary data quality tests on extracted data. * **Problem Formulation**: Analyzing business problems within your area of expertise, challenging assumptions, and identifying and recommending solutions to drive business outcomes. * **Analytical Modeling**: Selecting and developing suitable modeling strategies for complex problems with multiple data sources, conducting exploratory data analysis, and interpreting results to inform business decisions. * **Model Deployment & Scaling**: Working with MLOps to deploy ML models to production, continuously logging and tracking model performance, and identifying areas for improvement. * **Code Development & Testing**: Writing code to develop and test solutions, creating test cases, and contributing to code documentation and playbooks. * **Applied Business Acumen**: Evaluating business cases for initiatives and projects, influencing stakeholder decision-making, and translating business needs into strategies and initiatives. * **Model Assessment & Validation**: Identifying and evaluating model assessment metrics, applying testing and tuning strategies to evaluate accuracy and robustness, and ensuring testing records are documented and maintained. * **Data Visualization and Storytelling**: Identifying and recommending visualization tools, generating graphical representations of data and model outcomes, and presenting insights to various audiences. **What You'll Bring** * Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field, and 4 years of experience in an analytics-related field. * Deep knowledge and experience with machine learning, statistics, and data science. * Strong programming skills in at least one of Python or R. * Ability to execute projects from start to finish, including mentoring junior colleagues. * Experience with implementing best practices in ML Ops, coding standards, and other areas. * Excellent communication and presentation skills, with the ability to translate complex algorithm evaluations into clear language. * Ability to work with external partners and stakeholders, including management and outside clients. **What You'll Get** * Competitive salary range of $30-40/hour. * Comprehensive benefits package, including multiple health plan options, financial benefits, education assistance, parental leave, and paid time off. * Opportunities for career growth and professional development, including training and mentorship programs. * Collaborative and dynamic work environment with a team of talented professionals. * Flexible remote work options, with the ability to work from home or in our office. **How to Apply** If you're ready to join a team that's shaping the future of retail and data science, apply now to become a Staff Data Scientist at blithequark. Don't miss this opportunity to make a meaningful impact on the lives of millions of customers around the world. Why Join blithequark? At blithequark, we're committed to creating a workplace that's inclusive, diverse, and supportive of all employees. We believe that our differences are what make us stronger, and we're dedicated to fostering a culture of respect, empathy, and understanding. Our Values * **Innovation**: We're always looking for new and better ways to do things. * **Collaboration**: We work together to achieve common goals. * **Customer Focus**: We put our customers at the heart of everything we do. * **Integrity**: We act with honesty, transparency, and ethics in all our interactions. * **Inclusion**: We celebrate our differences and strive to create a workplace that's inclusive and supportive of all employees. What We Offer * **Competitive Salary and Benefits**: We offer a comprehensive benefits package, including multiple health plan options, financial benefits, education assistance, parental leave, and paid time off. * **Opportunities for Career Growth**: We're committed to helping our employees develop their skills and advance their careers. * **Flexible Work Options**: We offer flexible remote work options, with the ability to work from home or in our office. * **Collaborative Work Environment**: We're a dynamic and supportive team that's passionate about making a difference. How to Apply If you're ready to join a team that's shaping the future of retail and data science, apply now to become a Staff Data Scientist at blithequark. Don't miss this opportunity to make a meaningful impact on the lives of millions of customers around the world. Apply Now! Apply for this job