9 of 9 Bayesian Methods Jobs

with our AIOps engineering teams to productionize and scale analytical capabilities beyond traditional manual analysis. By leveraging your deep understanding of marketing data, statistical methods, and emerging AI technologies, you'll enable data-driven marketing strategies that maximize ROI and competitive advantage. Develop and maintain econometric models to measure … budget allocation Hands-on experience working with Google Analytics data and other marketing platforms Experience with marketing mix modelling, incrementality testing, and causal inference methods Familiarity with marketing data sources and platforms (Facebook Ads, programmatic platforms, etc.) Strong knowledge of experimental design and statistical modelling techniques including regression analysis ...

least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with ...

natural-world systems: messy, noisy, sparse, nonlinear, and only partially observed. Nice to Have Experience with mechanistic models, hybrid ML, Bayesian methods, causal inference, dynamical systems, or uncertainty quantification. Experience designing benchmarks in novel or poorly defined problem spaces. Experience building models that move from research ...

data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve complex product problems. Commercial & Risk Mindset: You possess deep commercial fluency, understanding the unit economics of a fintech ...

snowflake, data visualisation). Some extra skills that are great (but not essential): Experience with a customer facing agentic system. Experience with Bayesian inference, especially with A/B testing. Additional Information We’re people without borders — without judgement or prejudice, too. We want to work with ...

possess deep expertise in lifetime value (LTV) modelling and econometrics/marketing mix modelling, complemented by a strong understanding of statistics, particularly Bayesian reasoning, which enables you to accurately estimate results and know when to deliver actionable insights. Your technical toolkit includes experience with Bayesian ...

edge algorithms that combine scientific and applied innovation. Candidates should have a strong academic background in Computer Science, expertise in reinforcement learning or Bayesian optimisation, and proficiency in Python. This is an exciting opportunity to contribute to high-impact AI projects within a dynamic multinational team. #J ...

unclear. You should apply if... You have deep expertise across a range of ML techniques (e.g. Transformer‐based NLP, Deep Learning, Tree‐based methods, Bayesian modelling) and the judgment to select solutions that balance theoretical soundness against engineering practicality. You have a proven track record ...

recognition, including Huawei’s Gold Medals and Best Technology Breakthroughs. This role focuses on advancing the state-of-the-art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLMs), and/or vision-language models (VLMs). You will work at the intersection of fundamental … eagerness to translate cutting-edge ideas into working prototypes and real-world applications. Key Responsibilities Conduct original research in reinforcement learning or Bayesian optimisation for LLMs, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML). Design and implement new algorithms and models that ...