Expertise in two or more of the following advanced analytics methods: descriptive statistics, predictive statistical methods and machine learning, multi-touch attribution modeling, MMM, cross-device measurement.

The goal of the Apple Services Engineering Machine Learning Lifecycle team is to take personalization, search, and more to the next level of intelligence and accuracy using advanced ML and statistical techniques.

Consult with program development, data & learning science, and the psychometrics team on validity studies, scoring methods, rubric development, and other assessment tools, models, and issues. Experience with three or more of the following: adaptive assessment, competency-based assessment, psychometrics, rubric development, technology-enhanced items, prototyping and validating new item types and/or test designs.

Familiarity with statistical packages, Bloomberg, FactSet, Reuters, Microsoft Office, etc. This Global Investment Strategist will be responsible for helping to develop the strategy narrative, deliver market insights to investors, and engage with business priorities for J.P. Morgan’s Wealth Management business.

Provides information by preparing and analyzing statistical, operational and other reports as needed for the Associate Medical Director/or Chief Operating Officer and Gotham Health Service Line Leadership.

Our client provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting-edge analytics techniques, and a consultative approach. Good to have - Colibra, Axon/EDC, Informatica, Alation, etc.

Advanced statistical analysis skills and Machine Learning modeling, Deep Learning modeling. Develops data mining models, statistical reporting and data analysis methodologies to identify network anomalies and enable network optimization trough data driven decisions.

Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets.

Proficient in utilizing Python libraries including Pandas, Scikit-learn, NumPy, SciPy, Matplotlib, NLTK, TensorFlow, PyTorch, and Keras for data manipulation, statistical analysis, and machine learning.

Leveraging the Analysts expertise in bioinformatics, computational biology, and statistical analysis, they will contribute to the advancement of scientific understanding and the development of innovative solutions in the fields of genomics, personalized medicine, and bioinformatics.

Proficiency in financial modeling, statistical analysis, and programming languages (e.g., Excel, VBA, Python, R). The Analyst, Securities will be responsible for conducting in-depth analysis of structured credit products including RMBS, ABS, CMBS, and CLOs, assessing risk factors, identifying investment opportunities, and providing strategic recommendations to optimize portfolio performance.

Master’s degree or higher in Psychometrics, Psychology, Statistics, or a related field. An Industrial/Organization Psychologist with proven proficiency in statistical software and coding languages and experience with graph databases and analytics (e.g., SPSS, R, SAS, Python, Cypher.

Experience with a statistical or machine learning specialty, such as NLP, computer vision, or network science. As a machine learning engineer, you will lead the deployment, monitoring, and evaluation of machine learning models designed to detect actors, behavior, and content associated with disinformation.

Outten & Golden LLP is seeking a Director of Data Science & Analytics to support the Firm’s class action litigation practice and in other contexts by producing value out of data—focused primarily on economic and statistical analysis, programming, and data management for employment litigation, employment investigations, and our fast-growing digital-discrimination and AI docket.

Expertise in statistical tools, programming languages, and visualization tools (e.g. Python, R, SQL, MS PowerBI). Expertise in statistical tools, programming languages, and visualization tools (e.g. Python, R, SQL, MS PowerBI.