What you'll do...

Position: Senior Data Scientist

Job Location: 702 SW 8th Street, 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: Object-oriented, procedure-oriented and database programming languages including Python, Java, R, Linux Commands, and MYSQL; Developing both supervised and unsupervised machine learning prediction models including XGBoost, Random Forest, deep neural networks, K-means clustering, and graphical network models; Exploratory Data Analysis with Statistical theories and implementation, including statistical analysis, hypothesis testing, and statistical inferences; Data processing include text content processing, web scrapping, data mining, and data frame processing with user defined functions in programming; Creating features and developing feature engineering to add new indicators to improve prediction model with Python; Coding and reviewing on multiple coding platforms including Google Cloud Platform, Microsoft Azure related Platform, and GitHub; Model assessment and validation with model fit testing, tuning, and validation techniques including Chi square, ROC curve and root mean square error; Data Visualization with Tableau, Tableau Prep, Power BI, Gephi; Conducting complex data transformation, calculation and cleaning in Tableau Prep in preparation for data visualization; Application of NetworkX python package for network structure analysis in big data; Application of PySpark and sklearn in Python for model development, data manipulation and analysis; Application of Matplotlib, NetworkX, Graphviz, Plotly, GGplot in python, and R libraries for customized data visualization; and Coding with geospatial packages including GeoPandas, Shapely, Pyproj, Geoplot, and Rasterio for spatial data processing, cleaning and analysis. Employer will accept any amount of experience with the required skills.

Wal-Mart is an Equal Opportunity Employer.

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