Sr. Data Scientist, Customer Analytics (0024-0002)
Responsible for developing performance measurements and analytical tools to improve profitability, planning/forecasting processes, write code, and queries to generate outputs that support strategy information and decision-making; Present updates to key stakeholders, including senior leadership regarding the evaluation of customer-centric analytics and meaningful findings to the business; Create and maintain documentation related to the companys software solution and database environment; Perform validation of models to ensure adequacy, define data requirements, gather and validate information, and apply statistical tests; Develop performance measurements and analytical tools to improve profitability, planning, and forecasting; Write code and queries to generate outputs that support strategy information and decision making; Collaborate with other teams to gather the right information from various sources so you can implement advanced statistical methodologies and design interventions to optimize how our business can best perform; Obtain, manipulate, clean, and analyze structured and unstructured data from diverse sources; Apply advanced analytical techniques to answer customer-centric questions relevant to the business; Partner with other commercial teams and IT to develop and implement customers segmentations relevant to our commercial strategic objectives.
Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F.Job Location: Fort Worth, TX
Masters degree in Information Technology and Management, Business Analytics, or related field plus 2 years of experience as Analyst, Data Scientist, Engineer, or any occupation in which the required experience was gained, plus demonstrated experience in: Proficient in SQL (data extraction, transformation, and querying) and related data querying tools; Data cleaning and preprocessing to handle large and complex datasets; Data visualization and reporting tools (Tableau or Power BI); Advanced excel (pivot tables, macros, and data modeling); Quantitative analysis using Python programming; Knowledge of database management systems, data structuring, and data architecture; Cloud computing or distributed computing (Azure Databricks or Spark); Analytical and problem solving skills with experience working in dynamic, evolving environments; Statistics and forecast modeling experience; Ability to solve and to lead others in solving complex analytical problems; Statistical and descriptive concepts and methodologies; Machine learning algorithms (XGBoost, Random Forest, and KNN); Customer analytics and quantitative marketing skills; Business analysis and reporting; Reporting and data analysis.
Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference #0024-0002 in the subject line.
Thank you.