Dash Job - Data Scientist - Walmart

:mega: Plotly Dash Skills: Implement Plotly Dash web services in Python.

Company: Walmart

Title: Data Scientist

Category: Full time

Location: Dallas, TX, USA

Experience: Junior level

Application: Link to apply

@OpenToWork


What you’ll do…

Position: Data Scientist

Job Location: 603 Munger Avenue, #400, Dallas, TX 75202

Duties: Supports the development of business cases and recommendations. Owns delivery of project activity and tasks assigned by others. Supports process updates and changes. Solves business issues. Understand the appropriate data set required to develop simple models by developing initial drafts. Supports the identification of the most suitable source for data. Maintains awareness of data quality. Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Selects the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Defines and finalizes features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identifies the dimensions of the experiment, finalizes the design, tests hypotheses, and conducts the experiment. Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentors and guides junior associates on basic modeling and analytics techniques to solve complex problems. Supports efforts to ensure that analytical models and techniques used can be deployed into production. Supports evaluation of the analytical model. Supports the scalability and sustainability of analytical models. Writes code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements. Test the code using the recommended testing approach. Translates business problems within one’s discipline to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem. Supports model fit testing and statistical inferences to evaluate performance. Assesses the impact of variables and features on model performance.

Minimum education and experience required: Master’s degree or the equivalent in Computer Science, Analytics, or related field; OR Bachelor’s degree or the equivalent in Computer Science, Analytics, or related field plus 2 years of experience in analytics or a related field.

Skills required: Must have experience with: Coding in an object-oriented programming language (Python); Selecting appropriate dataset and cleaning data to meet data requirements in Python; Implementing FastAPI microservices using Python; Implementing Plotly Dash web services in Python; Implementing backend structures for web services in Python; Scraping websites and conducting browser automation test using Selenium; Testing microservices and model pipelines using pytest; Selecting appropriate machine learning models for estimation and evaluation for a given application; Communicating model output to decision-makers; Undertaking feature construction and features selection to perform modeling; Generating appropriate graphical representations of data and model outcomes. Employer will accept any amount of experience with the required skills.