at Wal-Mart Associates, Inc. in Bentonville, Arkansas, United States
Duties: Analyzes data to drive analytics projects by serving as a technical lead for analytics projects; gathering data from internal and external sources; synthesizing data into analytics datasets to support project goals; developing statistical models and computational algorithms to analyze and describe the data and its characteristics; coding, testing, and maintaining analytical software tools; identifying trends and patterns in data; identifying discrepancies in data based on project goals; and providing reports and data insights to support overall project deliverables. Participates in multiple analytics project teams by working with project teams and business partners to determine project goals and objectives; gathering and synthesizing data; developing reports as needed; utilizing business knowledge to ensure data supports project goals; analyzing data based on identified variables; reviewing data results with team members to ensure accuracy; and communicating results and insights to the project team and business partners. Presents data insights to key stakeholders by developing insights based on data analysis; applying analytical results to project goals; identifying trends and key insights; translating results into business actions; and presenting results and insights to key stakeholders.
Minimum education and experience required: Master’s degree or the equivalent in Analytics, Statistics, Computer Science, Information Technology or a related field plus 1 years of experience in analytics or a related field; OR Bachelor’s degree or the equivalent in Analytics, Statistics, Computer Science, Information Technology or a related field plus 3 years 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: Implementing statistical and hypothesis testing (Bayesian, accuracy metrics, t-test, z-test, ANOVA, and Chi-Square test); Natural Language Processing (TD-IDF, Word2vec, Glove, Bert, Topic Modeling, Sentiment Analysis, Text similarity, NLTK); Machine learning programming languages (Python, R, SQL, Pandas, Numpy, Sklearn, dplyr, Spicy); Machine learning algorithms (linear regression, logistic regression, decision tree, random forest, GBM, SVM, neural networks, CNN, LSTM, ARIMA, and ETS); Advanced time series algorithms (SARIMA, Holt-Winter, Prophet); Applying data visualization and dashboarding tools (Tableau, PowerBI, matplotlib, seaborn, plotly, ggplot, and RShiny); Data Processing (SAP, DB2, Teradata, Oracle, Azure); and Big data platforms and tools (Hadoop, MapReduce, Hive, Spark, Pig). Employer will accept any amount of experience with the required skills.
To apply for this position: Send your resume to email@example.com and reference the following Job ID number: R-626613