3 Bayesian Techniques Jobs

As a Data Scientist at Avathon, you will be part of a team revolutionizing industrial AI by developing groundbreaking solutions that enable businesses to leverage their operational data effectively. Our platform integrates and contextualizes siloed datasets, providing a comprehensive operational view that enhances decision-making and efficiency. With cutting-edge capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets for predictive maintenance, performance simulation, and operational optimization tailored to industrial environments. Joining Avathon means being at the forefront of AI innovation, working in a high-growth environment, and making a meaningful impact through AI-driven projects that drive real change across industries and improve lives. As part of the Applied Research team, you will tackle hard, novel challenges in product development and customer engagements. Your role will involve conducting research in machine learning-based solutions to enhance our products and assist our customers. Qualified candidates are expected to have deep analytical skills, expertise in artificial intelligence, machine learning, and data science, as well as experience in designing experiments and deriving empirical conclusions. Strong communication skills are essential for collaborating with research colleagues and customers. Your responsibilities will include: - Engaging with internal product developers, external customers, and subject matter experts to solve critical technical challenges using cutting-edge artificial intelligence. - Conducting research and developing models for commercial and industrial applications in various areas such as forecasting, optimization, anomaly detection, prescriptive maintenance, and health and safety. - Exploring artificial intelligence domains like reinforcement learning, graph neural networks, and continuous learning. - Developing procedures and toolsets to enhance data science activities. - Contributing to AI product development and key research areas, proposing new projects, evaluating proposals, and responding to RFPs related to artificial intelligence. - Writing patent applications and technical publications based on research findings. To be successful in this role, you should have: - Experience in research-level innovation in Data Science and ML, preferably with an advanced degree. - 5+ years of experience in forecasting, optimization, machine learning, and related fields. - Strong understanding of Data Science concepts, machine learning algorithms, and programming languages like Python, R, and Matlab. - Proficiency in machine learning frameworks such as PyTorch, TensorFlow, Theano, and Keras. - Applied knowledge of ML techniques, statistical modeling, and managing large volumes of data. - Experience leading data science project teams and excellent written and verbal communication skills. At Avathon, we are committed to providing reasonable accommodations throughout the recruiting process. If you require any assistance, please reach out to us to discuss how we can support you.,

As a Python Developer, you will be responsible for building supervised (GLM ensemble techniques) and unsupervised (clustering) models using standard industry libraries such as pandas, scikit-learn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be essential in this role. You should have significant experience in Python, with a focus on writing unit tests, creating packages, and developing reusable and maintainable code. Your ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and Tableau, will be crucial. Experience with continuous integration and development tools like Jenkins, as well as Spark ML pipelines, will be advantageous. We are looking for a self-motivated individual who can collaborate effectively with colleagues and contribute innovative ideas to enhance our projects. Preferred qualifications include an advanced degree with a strong foundation in the mathematics behind machine learning, including linear algebra and multivariate calculus. Experience in specialist areas such as reinforcement learning, NLP, Bayesian techniques, or generative models will be a plus. You should excel at presenting ideas and analytical findings in a compelling manner that influences decision-making. Demonstrated evidence of implementing analytical solutions in an industry context and a genuine enthusiasm for leveraging data science to enhance customer-centricity in financial services ethically are highly desirable qualities for this role.,

As a Python Developer, you will be responsible for leveraging your experience to build standard supervised (GLM ensemble techniques) and unsupervised (clustering) models using industry libraries such as pandas, sklearn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be crucial in this role. Your role will also involve significant experience in Python, encompassing tasks such as writing unit tests, developing packages, and crafting reusable and maintainable code. An essential aspect of your responsibilities will be the ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and tableau. Experience with continuous integration/development tools like Jenkins and Spark ML pipelines will be advantageous. We are looking for a self-starter who not only excels individually but also collaborates effectively with colleagues, bringing innovative ideas to enhance our collective mindset. For the ideal candidate, possessing an advanced degree with a strong foundation in the mathematical principles underpinning machine learning, such as linear algebra and multivariate calculus, would be a significant advantage. Additionally, expertise in specialized areas like reinforcement learning, NLP, Bayesian techniques, or generative models would be highly valued. Your ability to effectively present ideas and analytical findings in a compelling manner that influences stakeholders will be a key aspect of this role. Demonstrated experience in developing analytical solutions within an industry context and a genuine passion for utilizing data science ethically to enhance customer-centricity in financial services will set you apart. If you are ready to contribute to a dynamic team by applying your Python development skills and data science expertise to drive impactful solutions in the financial services sector, we encourage you to explore this opportunity further.,