1 to 7 of 7 Decision Tree Jobs

Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific more »

best-practice Required Skills A numerate degree Excellent scripting and programming ability in Python Experienced in applying machine learning techniques (e.g. xgboost, regression, decision trees) Experience in an area of advanced machine learning (e.g. LLMs, reinforcement learning, diffusion models, etc.) SQL and experience with databases (SQL Server, Postgres more »

Other analytics tools such as R, Alteryx, SQL and SAS (nice to have) Data cleaning, variable transformation, etc. Regression analysis, factor analysis, PCA, decision trees, etc. Machine learning algorithms such as NLP, random forest, etc. Strong expertise in optimization and/or predictive. For optimization must have excellent more »

including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. If this sounds more »

driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience … including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior more »

driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience … including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior more »

of Production (SoP) phases Support Key Characteristic (KC) & Critical Item (CTI) cascade from Design & Manufacturing Engineering functions Support APQP activities including; Decision Tree's (DT), Applicability Matrix (AM), and Key Business Deliverable (KBD) assessments as both deliverable owner & assessor Guidant Global (BH4SF) is acting as an Employment more »