**Experienced Full Stack Data Scientist – Web & Cloud Application Development at blithequark**
Are you a data enthusiast with a passion for driving business growth through data-driven insights? Do you have a knack for developing innovative solutions that transform the retail industry? Look no further! blithequark is seeking an experienced Full Stack Data Scientist to join our Data Ventures team, where you'll play a critical role in shaping the future of retail through data science. **About blithequark** At blithequark, we're on a mission to revolutionize the retail industry through innovative technologies and data-driven insights. Our Data Ventures team is a nimble startup incubated within blithequark, building a suite of cutting-edge data products that empower our customers, associates, and suppliers to make informed business decisions. As a Full Stack Data Scientist, you'll be part of a dynamic team that's passionate about leveraging data science to drive business growth and improve customer experiences. **Job Responsibilities** As a Full Stack Data Scientist at blithequark, you'll be responsible for: * **Data Source Identification**: Identify and extract relevant data sources, define data requirements, and perform preliminary data quality checks to ensure high-quality data for analysis. * **Problem Formulation**: Analyze business problems, identify key assumptions, and develop data-driven solutions to drive business growth and improve customer experiences. * **Analytical Modeling**: Develop and deploy machine learning models to solve complex business problems, leveraging techniques such as deep learning, natural language processing, and computer vision. * **Model Deployment & Scaling**: Collaborate with MLOps teams to deploy models to production, continuously monitor model performance, and identify areas for improvement. * **Code Development & Testing**: Develop and test code to implement data science solutions, leveraging programming languages such as Python, R, and SQL. * **Applied Business Acumen**: Evaluate business cases for data science projects, influence stakeholder decision-making, and drive the execution of deliverables. * **Model Assessment & Validation**: Identify and evaluate model assessment metrics, apply testing and tuning strategies to evaluate model accuracy and robustness. * **Data Visualization and Storytelling**: Develop compelling data visualizations and stories to communicate insights to stakeholders, leveraging tools such as Tableau, Power BI, and D3.js. **What You'll Bring** To succeed in this role, you'll need: * A Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field. * 4+ years of experience in an analytics-related field, with a strong background in data science, machine learning, and programming. * Deep knowledge of data science concepts, including machine learning, statistics, and data visualization. * Strong programming skills in languages such as Python, R, and SQL. * Ability to execute projects from start to finish, including junior team members. * Experience with MLOps, coding standards, and data quality best practices. * Excellent communication and collaboration skills, with the ability to translate complex technical concepts into business-friendly language. **What We Offer** As a Full Stack Data Scientist at blithequark, you'll enjoy: * Competitive salary and benefits package, including health, dental, and vision insurance. * 401(k) matching and stock purchase plans. * Associate discounts in-store and online. * Education assistance for associates and dependents. * Parental leave and paid time off, including vacation, sick, and parental leave. * Short-term and long-term disability benefits. * Opportunities for career growth and professional development. **How to Apply** If you're a data enthusiast with a passion for driving business growth through data-driven insights, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We can't wait to hear from you! Apply Job! Apply for this job