- Intuit Inc. (Mountain View, CA)
- …and modeling skills using Python (for its rich suite of statistical and modeling libraries like NumPy, Pandas, Scikit-learn, etc.). Experience with ... or product analytics, with a strong foundation in predictive modeling , customer segmentation, and experimentation. Ability to formulate data-backed strategies… more
- Capital One National Association (Mclean, VA)
- …the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in ... 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. Responsibilities Drive current and future strategy by leveraging your… more
- Spottal (San Jose, CA)
- …SAS tools, with a solid background in data analysis, data warehousing, and statistical modeling . Responsibilities: Develop and optimize SAS programs for data ... extraction, transformation, analysis, and reporting. Build and maintain automated data pipelines using SAS and other ETL tools. Create and support dashboards, visualizations, and reports using SAS tools (eg, SAS Enterprise Guide, SAS Visual Analytics). Perform… more
- Amazon (Seattle, WA)
- …a Sr. Research Scientist to develop science solutions using machine learning and statistical modeling . Candidates should have 5+ years of experience, a relevant ... advanced degree, and proficiency in R or Python. This role will involve collaboration with various teams to tackle supply chain challenges and translate business requirements into actionable insights while maintaining high standards of scientific excellence.… more
- Snyk Ltd. (Boston, MA)
- …organization. What You Bring: Expertise in advanced data analysis techniques, including statistical modeling and predictive analytics.* 10+ years of progressive ... experience in business intelligence, data analytics, or related roles. Proven success in leading and executing business intelligence initiatives at a senior level.* Prior experience with technologies such as Snowflake and Tableau.* Strong hands on experience… more
- Unknown (Chicago, IL)
- …Kantar, Pathmatics, Competitrac, Numerator, etc.) Experience working with various advanced statistical modeling and other forms of quantitative analysis ... Experience in multi‑variate regression in projects Familiarity with P‑value, VIF, T‑score, R2, MSE, Durbin‑Watson, etc. Hands on experience in SAS, R or Python (working in and creating code from scratch - not just running someone else's code by changing… more
- Point72 Asset Management, LP (New York, NY)
- …Python (pandas, numpy, scipy, scikit-learn) and SQL Experience with data manipulation, statistical modeling , and time series analysis Understanding of financial ... markets, particularly fixed income and credit derivatives Ability to build production-quality code with proper testing and documentation Strong problem solving skills and attention to detail in quantitative work Good communication skills and ability to explain… more
- Integrityone Partners (Washington, DC)
- …data processes; and builds large, complex data sets. Typical Functions Conducts statistical modeling and experiment design, and tests and validates predictive ... models. Builds web prototypes and performs data visualization. Conducts scalable data research on and off the cloud. Develops customized algorithms to solve analytical problems with incomplete data sets, and implements automated processes for efficiently… more
- KIND (Washington, DC)
- …Strong quantitative and qualitative analysis capabilities with experience in donor alignment, statistical modeling and predictive analytics. Firm grasp on the ... latest advancements in wealth screening tools, data mining, sophisticated database queries, and advanced search technologies, both individual and institutional. Demonstrated ability to analyze and synthesize information and deliver clear, insightful, and… more
- The Josef Group (Columbia, MD)
- …as natural language processing (NLP), deep learning, computer vision, and statistical modeling Collaborate with analysts, engineers, and mission stakeholders ... to define data‑driven solutions Develop data pipelines and preprocess structured and unstructured datasets Present findings through visualizations, reports, and briefings for both technical and non‑technical audiences Work in secure, cloud‑based environments… more
