Senior Data Scientist
Apply NowCompany: Walmart
Location: Bentonville, AR 72712
Description:
What you'll do...
Position: Senior Data Scientist
Job Location: 702 SW 8th Street, Bentonville, AR 72716
Duties: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data. Analytical Modeling: 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. Identifies the model evaluation metrics. Applies best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles. 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. Generates appropriate graphical representations of data and model outcomes. Understands customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front end applications. Presents to and influences the team and business audience using the appropriate frameworks and conveys clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance and leverages rational arguments.
Minimum education and experience required: Bachelor's degree or the equivalent in Statistics, Computer Science, Analytics, or related field plus 3 years of experience in analytics or a related field; OR Master's degree or the equivalent in Statistics, Computer Science, Analytics, or related field plus 1 year of experience in analytics or a related field; OR 5 years of experience in analytics or a related field.
Skills required: Must have experience with: Using python for pre-processing of data and feature Engineering; Building machine learning and deep learning models using python libraries such as sklearn; Using PySpark for parallel processing of algorithms to expedite runtimes; Building data pipelines and data wrangling using SQL; Scaling the machine learning models using Cloud Platforms (e.g., GCP, VertexAI, BigQuery, and Azure); Hyper-parameter tuning of machine learning models to improve accuracies; Building compelling data visualizations and interactive dashboards to showcase work to business stakeholders; Conducting ad hoc analysis and statistical tests test hypothesis and delivering findings in a structured way to business partners; Using Git for CI/CD and version control best practices for code changes and writing robust, production-ready code; and Designing and developing schemas and tables and reading data from relational databases (e.g., SQL), and high-performance or distributed processing (e.g., using MapReduce, Presto, Spark, and/or Hive). Employer will accept any amount of experience with the required skills.
Wal-Mart is an Equal Opportunity Employer.
Position: Senior Data Scientist
Job Location: 702 SW 8th Street, Bentonville, AR 72716
Duties: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data. Analytical Modeling: 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. Identifies the model evaluation metrics. Applies best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles. 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. Generates appropriate graphical representations of data and model outcomes. Understands customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front end applications. Presents to and influences the team and business audience using the appropriate frameworks and conveys clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance and leverages rational arguments.
Minimum education and experience required: Bachelor's degree or the equivalent in Statistics, Computer Science, Analytics, or related field plus 3 years of experience in analytics or a related field; OR Master's degree or the equivalent in Statistics, Computer Science, Analytics, or related field plus 1 year of experience in analytics or a related field; OR 5 years of experience in analytics or a related field.
Skills required: Must have experience with: Using python for pre-processing of data and feature Engineering; Building machine learning and deep learning models using python libraries such as sklearn; Using PySpark for parallel processing of algorithms to expedite runtimes; Building data pipelines and data wrangling using SQL; Scaling the machine learning models using Cloud Platforms (e.g., GCP, VertexAI, BigQuery, and Azure); Hyper-parameter tuning of machine learning models to improve accuracies; Building compelling data visualizations and interactive dashboards to showcase work to business stakeholders; Conducting ad hoc analysis and statistical tests test hypothesis and delivering findings in a structured way to business partners; Using Git for CI/CD and version control best practices for code changes and writing robust, production-ready code; and Designing and developing schemas and tables and reading data from relational databases (e.g., SQL), and high-performance or distributed processing (e.g., using MapReduce, Presto, Spark, and/or Hive). Employer will accept any amount of experience with the required skills.
Wal-Mart is an Equal Opportunity Employer.