**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 landscape? If yes, then we have an exciting opportunity for you to join blithequark as an Experienced Full Stack Data Scientist – Web & Cloud Application Development. **About blithequark** At blithequark, we are revolutionizing the retail industry by harnessing the power of data and technology. Our team of experts works closely with our US stores and eCommerce business to empower customers, associates, and suppliers with innovative solutions. From groceries and entertainment to carrying items and crafts, blithequark offers an extensive range of products that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Our focus areas include customers, stores, and associates, in-store services, supplier equipment, supplier data science, and search and personalization. **Data Ventures: The Hub of Innovation** Data Ventures, a nimble startup incubated within blithequark, is building a best-in-class suite of data products to provide actionable, customer-centric insights and help traders and suppliers make better business decisions on omni-channel 360 performance. As a member of our Data Ventures team, you will be part of a dynamic and collaborative environment that fosters innovation and growth. **Key Responsibilities** As an Experienced Full Stack Data Scientist – Web & Cloud Application Development at blithequark, you will be responsible for: * **Data Source Identification**: Understanding the concerned order of requirements and service level agreements, defining and identifying the most appropriate reasserts for required data that is fit for purpose, regarding external assets as required. Performing preliminary data quality tests on the extracted data. * **Problem Formulation**: Analyzing the business problem within one's domain and questioning assumptions to help the business perceive the root cause. Identifying and recommending methods to solve the business's problem. Setting data analytics, big data analytics, automation goals, and deliverables based on the setup achievement standards and outlining key metrics to measure progress and effectiveness of the solution. * **Analytical Modeling**: Selecting suitable modeling strategies for complex problems with large-scale, multiple established and unstructured data sets. Selecting and developing variables and functions iteratively based on model responses in collaboration with the business. Conducting exploratory data analysis activities (e.g., basic statistical analysis, hypothesis testing, statistical inferences) on to-be-had data. Identifying dimensions and designs of experiments and creating test and research frameworks. Interpreting data to perceive trends to move across future data sets. Creating continuous, online versions learning including iterative model enhancements. Developing newer strategies (e.g., advanced machine learning algorithms, vehicle mobile ML) through leveraging the latest developments in machine learning, artificial intelligence to teach algorithms to use models to new data sets. * **Model Deployment & Scaling**: Ability to work with MLOps to push ML models to production. Continuously logging and tracking model behavior once it's deployed against the described metrics. Identifying model parameters which may need adjustments based on the scale of deployment. * **Code Development & Testing**: Writing code to develop the specified solution and application capabilities by identifying the right programming language and leveraging business, technical, and data requirements. Creating test cases to study and validate the proposed solution design. Creating proofs of concept. Testing the code using the right testing method. Contributing code documentation, maintaining playbooks, and providing timely development updates. * **Applied Business Acumen**: Evaluating proposed business cases for projects and initiatives. Influencing business stakeholder decision-making. Translating business requirements into strategies, projects, and initiatives and aligning them to business method and goals and driving the execution of deliverables. Building and articulating the business case and going back on investment and grants work that has demonstrable value. Challenge business assumptions on subjects related to one's area of expertise. Develop new organization-wide approaches and approaches to working. Teach and course others on best practices. Proactively engage in the external network to build blithequark's brand and research more about business practices. * **Model Assessment & Validation**: Identifying and reviewing model assessment metrics based on analytical requirements. Applying appropriate strategies for model testing and tuning, to evaluate accuracy, fit, validity, and robustness. Ensuring testing data is documented and maintained by the team. * **Data Visualization and Storyteller**: Identifying and recommending the most appropriate visualization tools based on context. Generating suitable graphical representations of data and model outcomes. Understand customer requirements to design suitable data representation for complex data sets and drive User Experience designers and User Interface engineers to build the front-end applications. Defines application layout based on customer requirements. Builds compelling stories based on context to combine multiple pieces of data into cohesive insights. Presents to and impacts various audiences using the right frameworks and conveys clear messages through deep business and stakeholder knowledge. Customizes communication style based on stakeholders and leverages relationships to drive behavioral change. Guides and mentors junior colleagues on story types, structures, and strategies based on context. **What You Will 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 understanding of machine learning, statistics, data science in general. * Strong programming skills in at least one of Python/R. * Ability to execute projects end-to-end including junior colleagues. * Implement best practices in ML Ops, coding standards, etc. * Clearly communicate with business, product, and application partners. * Ability to translate complex algorithm evaluations in simple language. * Ability to present to management including external clients. **What We Offer** * Multiple health plan options, including vision & dental plans for you & dependents. * Financial benefits including 401(k), stock buy plans, life insurance, and more. * Associate discounts in-store and online. * Education help for Associates and dependents. * Parental Leave. * Pay during military service. * Paid Time off – including vacation, sick, parental. * Short-term and long-term disability for when you cannot work due to injury, illness, or childbirth. **Join the blithequark Team** At blithequark, we are committed to creating a workplace that is inclusive, diverse, and supportive. We believe that our associates are our greatest asset, and we strive to provide a work environment that is challenging, rewarding, and fun. If you are a motivated and talented individual who is passionate about data science and innovation, then we encourage you to apply for this exciting opportunity to join our team. Apply Job! Apply for this job