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 in Statistics, Computer Science, or related field plus 3 years of experience in analytics or a related field; OR Master's degree in Statistics, Computer Science, 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: code development and testing in programming languages (Python) and data analysis using SQL; designing and building relational database management systems (Oracle, DB2, MySQL, and MSSQL) and scripting languages (Unix Shell Scripting); cloud computing ecosystems to design schemas, query data and build end-end data pipelines; data query and analysis using BigQuery; leveraging Big Data technologies such as Hadoop, Hive, Spark, PySpark and Spark SQL to analyze data; identifying data sources and performing data acquisition, data cleaning, data engineering, scaling and engineering features to build business solutions with the best ETL techniques; building ETL pipelines for batch and real time data loads; front-end development languages like HTML, CSS and JavaScript to develop front-end applications and mobile applications; API development and testing for User Interface dashboards; visualizing and performing data analytics using Tableau; application of data ecosystems including data management, data quality standards and data governance, accessibility, storage, and scalability; building, scheduling, and monitoring batch jobs and workflow orchestration (Machine Learning Platform Element, Automic, ESP, and Airflow); performing data source identification, conducting exploratory data analysis and providing meaningful insights using statistical techniques, hypothesis testing and statistical inferences using query languages (Big Query, SQL, and MSSQL); querying data stored in Relational Database Management systems and cloud environments like GCP; performing model development, test models and deploying the same using required programming languages like Python; providing support for the scalability and sustainability of analytical models; performing model assessments and validation using model fit testing and statistical inferences, and performing model deployment and scaling; developing workflow orchestration for data pipelines using best ETL techniques; translating business problems to data related or mathematical solutions; and identifying best methods like analytics, big data analytics and automation for resolving issues and performing data visualization using appropriate graphical representations of data and model outcomes. Employer will accept any amount of graduate coursework, graduate research experience or professional 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 in Statistics, Computer Science, or related field plus 3 years of experience in analytics or a related field; OR Master's degree in Statistics, Computer Science, 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: code development and testing in programming languages (Python) and data analysis using SQL; designing and building relational database management systems (Oracle, DB2, MySQL, and MSSQL) and scripting languages (Unix Shell Scripting); cloud computing ecosystems to design schemas, query data and build end-end data pipelines; data query and analysis using BigQuery; leveraging Big Data technologies such as Hadoop, Hive, Spark, PySpark and Spark SQL to analyze data; identifying data sources and performing data acquisition, data cleaning, data engineering, scaling and engineering features to build business solutions with the best ETL techniques; building ETL pipelines for batch and real time data loads; front-end development languages like HTML, CSS and JavaScript to develop front-end applications and mobile applications; API development and testing for User Interface dashboards; visualizing and performing data analytics using Tableau; application of data ecosystems including data management, data quality standards and data governance, accessibility, storage, and scalability; building, scheduling, and monitoring batch jobs and workflow orchestration (Machine Learning Platform Element, Automic, ESP, and Airflow); performing data source identification, conducting exploratory data analysis and providing meaningful insights using statistical techniques, hypothesis testing and statistical inferences using query languages (Big Query, SQL, and MSSQL); querying data stored in Relational Database Management systems and cloud environments like GCP; performing model development, test models and deploying the same using required programming languages like Python; providing support for the scalability and sustainability of analytical models; performing model assessments and validation using model fit testing and statistical inferences, and performing model deployment and scaling; developing workflow orchestration for data pipelines using best ETL techniques; translating business problems to data related or mathematical solutions; and identifying best methods like analytics, big data analytics and automation for resolving issues and performing data visualization using appropriate graphical representations of data and model outcomes. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.
Wal-Mart is an Equal Opportunity Employer.