8 Bayesian Modeling Jobs

As an AI/ML Project Manager, your role will involve overseeing and leading projects related to artificial intelligence and machine learning. Your key responsibilities will include: - Utilizing your 6-10 years of experience in Python, PL/SQL (preferably MS SQL Server) to drive project success. - Leveraging your expertise in the BFSI domain, particularly in Indian Banks and NBFCs, to provide strategic insights. - Demonstrating a strong understanding of Micro Finance Credit Bureau data to guide decision-making processes. - Applying your proficiency in statistics and tools/languages such as Python, SAS to analyze data effectively. - Synthesizing unstructured data and extracting actionable themes...

You are an accomplished professional with 6-10 years of experience in modeling and analytics, seeking to drive growth by integrating analytics into end-to-end business solutions. Your role will involve translating data-driven results into business-focused deliverables, enabling decision-making and shaping the future of rural finance lending. Your expertise will be crucial in analyzing large datasets to identify trends, patterns, and correlations related to loan performance, customer behavior, and market dynamics. You will develop and maintain predictive models to assess credit risk, predict default probabilities, and optimize loan approval & collection processes. Collaborating with product d...

As the Director of Data Modelling and Insights at Mastercard, you will play a crucial role in partnering with the Product & Process Transformation team to enhance analytical insights and develop robust data models that drive product execution and strategic decision-making. Your responsibilities will involve leveraging your expertise in Excel, Power Query, and Power BI to structure, clean, and transform data into actionable dashboards, forecasts, and performance metrics. In this position, you will be expected to build and maintain data models using Power BI to facilitate informed decision-making across various product and process initiatives. By utilizing Power Query, you will extract, transf...

You are looking for a Lead Data Scientist with over 10 years of experience in the field. The ideal candidate should have a Master's or PhD in Computer Science, Mathematics, Statistics, or a relevant field. In this role, you will be responsible for leading the development of next-generation Analytics and Machine Learning software. Your primary responsibilities will include utilizing your strong expertise in Statistics, Mathematics, and Engineering to spearhead the development process. Experience in Bayesian modeling and Probabilistic modeling is essential. You should also have experience working with Python and one of the popular probabilistic programming systems such as Pyro, PyMC, or Stan. ...

The job involves designing architectures for meta-learning, self-reflective agents, and recursive optimization loops. Building simulation frameworks grounded in Bayesian dynamics, attractor theory, and teleo-dynamics. Developing systems that integrate graph rewriting, knowledge representation, and neurosymbolic reasoning. Researching fractal intelligence structures, swarm-based agent coordination, and autopoietic systems. Advancing Mobius's knowledge graph with ontologies supporting logic, agency, and emergent semantics. Integrating logic into distributed decision graphs aligned with business and ethical constraints. Publishing cutting-edge results and mentoring contributors in reflective sy...

You are an individual contributor at Adobe Advertising Cloud, which offers a Demand Side Platform (DSP) and a Spend Optimizer to assist customers in planning, buying, measuring, and optimizing their digital media across various platforms. The primary goal is to enable global advertisers to enhance the effectiveness of their paid media budgets by delivering connected and personalized experiences to consumers. Your role will be within the Spend Optimizer group, working alongside a team of dedicated data scientists and engineers. Together, you will utilize techniques such as reinforcement learning, time series analysis, and bayesian modeling, along with Gen AI frameworks, to optimize ad spends ...

You will be responsible for designing architectures for meta-learning, self-reflective agents, and recursive optimization loops. Your role will involve building simulation frameworks for behavior grounded in Bayesian dynamics, attractor theory, and teleo-dynamics. Additionally, you will develop systems that integrate graph rewriting, knowledge representation, and neurosymbolic reasoning. Conducting research on fractal intelligence structures, swarm-based agent coordination, and autopoietic systems will be part of your responsibilities. You are expected to advance Mobius's knowledge graph with ontologies supporting logic, agency, and emergent semantics. Integration of logic into distributed, ...

Responsibilities : Serve as expert in Machine Learning, develop framework to build Production grade AI/ML models. Apply AI/ML to accelerate business innovation and solve impactful business problems for our clients. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions. Present results, insights, and recommendations to senior management with an emphasis on the business impact. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization. Required Skills: Deep knowledge in AI/ML algorithms e.g. Regre...