- CVS Health (Austin, TX)
- …Collaborate with internal teams to find areas of opportunities for automation and machine learning + Partner with architects, product owners, and software ... engineers to drive the implementation of new solutions and applications + Work within and across Agile teams to design, develop, test, implement, and support technical solutions across mobile and web full-stack development tools and technologies + Lead efforts… more
- PNC (Farmers Branch, TX)
- …Competitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning , Risk Assessments, Technical Knowledge **Competencies** ... Accuracy and Attention to Detail, Application Design, Architecture, Architecture Modeling, Hardware Infrastructure, ITIL (Information Technology Infrastructure Library), Planning: Tactical, Strategic, Platform Architecture, Problem Solving, Systems Software… more
- Meta (Temple, TX)
- …by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta ... is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at ###@fb.com. more
- Amazon (Austin, TX)
- …- Experience with theory and practice of information retrieval, data science, machine learning and data mining Preferred Qualifications - Experience working ... directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership - Master's degree in statistics, data science, or an equivalent quantitative field Amazon is an… more
- Citigroup (San Antonio, TX)
- …open source (ie Python, Impala, Hive, etc.) tools. + Traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient ... Boosting, Random Forests, etc. + Data visualization tools, such as Tableau + Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis. + Good written and verbal communication… more
- Evolent (Austin, TX)
- …+ Master's Degree, especially with a quantitative focus (eg data science, machine learning , statistics, mathematics, computer science, or engineering) + ... Familiarity with healthcare reimbursement methodologies and calculations such as DRGs, Revenue Codes, CPT Codes, RVUs, bundled payments, etc. + Working knowledge of healthcare claims; specifically, differences between institutional vs professional billing and… more
- Entergy (The Woodlands, TX)
- …finance is a plus. Experience in data analysis, programming, or forecasting ( machine learning algorithms, clustering techniques regression analysis etc.) using ... analytical tools such as SAS, SPSS, R, Python, SQL, Matlab, Java etc. is a plus. **Minimum Knowledge, Skills and Abilities** + Solid proficiency in advanced Excel modeling + Proven analytical and creative problem-solving abilities + Strong organization skills… more
- Amazon (Austin, TX)
- …team bridges the gap between popular ML frameworks and custom hardware. - The Machine Learning Server Software team maintains and optimizes the world's most ... advanced ML servers, focusing on system-level software that ensures peak performance of AI workloads. While we don't work directly on ML algorithms, we build the critical infrastructure that makes ML possible at scale. - The SoC Hardware Abstraction Layer… more
- Robert Half Technology (San Antonio, TX)
- …* Knowledge of Python or R for data analysis and familiarity with machine learning concepts. * Excellent analytical thinking and problem-solving skills to ... identify patterns and deliver insights. * Effective communication skills to present complex data findings to diverse stakeholders. Technology Doesn't Change the World, People Do.(R) Robert Half is the world's first and largest specialized talent solutions firm… more
- Citigroup (Irving, TX)
- …knowledge of modeling techniques including regression analysis, time series analysis, and machine learning models in the modeling process; Utilizing statistical ... software tools and programming languages including SAS/4GL, Python, SQL, R, Hive, PySpark, Oracle, and Tableau to conduct data analysis; Gathering requirements, preprocessing, and analyzing data as well as performing data quality checks to identify trends and… more