Responsibility for driving improvements in corporate systems by analyzing forecast and revenue data and implementing creative solutions to improve profitability; Utilize statistical analysis, simulations, predictive modeling, or other analytical methods to analyze data and develop practical solutions to business problems; Collect, pull, and push data to Oracle, Teradata, and HDFS storage using SQL, Spark, and data analysis technologies; Identify, analyze, and solve problems, and evaluate methods and results; Utilize statistical techniques including clustering, regression, and time series analysis to improve forecasting systems; Perform data analysis, model building, and output testing using SAS, R, and Python; Utilize optimization techniques including linear programming, dynamic programming, and gradient descent to optimize revenue in the corporate network forecast; Present analysis and results to assist management with decision making; Automate manual processes to streamline the workflow of operations research groups; Interact with internal and external groups to ensure corporate systems meet the needs of all interested grow. Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F. Job Location: Fort Worth, TX Education and Experience Requirements Master's degree in Operations Research, Statistics, Engineering, or related field, plus 1 year of experience as Analyst, Intern, Teaching Assistant, or any occupation in which the required experience was gained, plus demonstrated experience in: Linear Programming (LP); Integer and Mixed-Integer Programming (MIP); Nonlinear Optimization; Stochastic Modeling; Optimization Techniques; Probability Theory; Statistical Inference (confidence intervals, and hypothesis testing); Regression Analysis (linear, logistic, and multivariate); Time Series Analysis (ARIMA and exponential smoothing); Experimental Design and A/B Testing; Bayesian Statistics (basic modeling and inference); Python for Analytics (NumPy, Pandas, and SciPy); R for Statistical Computing; SQL for Data Extraction and Transformation; Automation; Data Analysis; Microsoft Excel, PowerPoint, and Word; Data Cleaning and Preprocessing Techniques; Data Visualization (Matplotlib, Seaborn, and Plotly); Optimization under Uncertainty; Numerical Methods (root finding, interpolation, and numerical integration); Linear Algebra. Experience may be gained during or through the course of graduate-level education. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at with reference in the subject line. Thank you.
Not specified in the original listing.
Not specified in the original listing.
Placement Services USA, Inc. specializes in providing employment and recruitment services across various industries. Their expertise includes matching candidates with appropriate job opportunities based on skills and experience. Read More