Senior Data Scientist

Position: Senior Data Scientist 

Job Location: 805 SE Moberly Lane, Bentonville, AR 72716 

Duties: Develop custom data models to drive innovative business solutions. Build complex data sets from multiple data sources, both internally and externally. Conduct advanced statistical analysis to determine trends and significant data relationships. Build learning systems to analyze and filter continuous data flows and offline data analysis. Train algorithms to apply models to new data sets. Validate models and algorithmic techniques. Scale new algorithms to large data sets. Combine data features to determine search models. Research new techniques and best practices within the industry. Utilize system tools including (MySQL, Hadoop, Weka, R, MATLAB, ILog). Responsible for analyzing large data sets to develop custom models and algorithms to drive business solutions. Work on project teams in order to provide analytical support to projects (for example, email targeting, business optimization, consumer recommendations) for Walmart eCommerce. Responsible for building large data sets from multiple sources in order to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets. Responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results. Responsible for researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support their assigned project. Work with cross-functional partners across the business. Develop models of current state in order to determine needed improvements Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. 

Minimum education and experience required: Master’s degree or the equivalent in Statistics, Analytics, Computer Science, Engineering, or related field plus 2 years of data science experience or related experience; OR Bachelor’s degree or the equivalent in Statistics, Analytics, Computer Science, Engineering, or related field plus 5 years of data science experience or related experience. 

Skills required: Must have experience with: Designing, developing and implementing forecasting algorithms using Python and R; Feature engineering, feature extraction and feature reduction techniques using Python, SQL and Big query; Identifying the model evaluation metrics and applying best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness using advanced statistics in Python; Conducting exploratory data analysis activities like basic statistical analysis, hypothesis testing, statistical inferences on available data using Python, SQL queries and Excel; Creating and executing complex SQL queries on big data to extract, transform and load data to implement in machine learning models; Building statistical models, Machine Learning models, and Deep Learning models using Python and R; Data visualization using Power BI and Tableau and communicating to show the key performance indicators and key insights to the business; Developing pipelines to retrieve and store data using Python, SQL and Big Query in Cloud Environment like GCP and Azure; Automating scripts for interacting with different systems and managing workflow using Python, shell scripting and Cloud technologies; and Developing scripts in Python to extract Big data using Hadoop and spark framework. Employer will accept any amount of experience with the required skills. 

Wal-Mart is an Equal Opportunity Employer.