3 Multivariate Statistics Jobs

As an Analytics Associate Manager - Insights and Intelligence at Accenture, you will be part of the Insights & Intelligence vertical, responsible for generating insights using the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to clients. Your expertise will be utilized in building top-notch solutions, solving business problems, and addressing technical challenges using AI Platforms and technologies. You will play a key role in creating architectural foundation and services necessary for AI applications, demonstrating your expertise through activities such as blogging, publishing research papers, and creating awareness in this emerging area. Your primary focus will be on working within the Marketing & Customer Analytics team to measure, manage, and analyze marketing activities, providing actionable insights and recommendations for optimizing ROI and performance efficiency in operations. Customer analytics will involve utilizing data from customer behavior to support key business decisions through market segmentation and predictive analytics. You should have exposure to digital marketing, A/B testing, MVT, Google Analytics/Site Catalyst. As a core member of Accenture Operations global Applied Intelligence group, you will collaborate with a strategic and high-impact team to innovate and transform the Accenture Operations business using machine learning and advanced analytics. Your responsibilities will include leading data scientists to build and deploy data science models, refining models based on feedback and evolving business needs, and analyzing data to enhance brand equity, improve retail margins, achieve profitable growth, and expand market share for clients. In this role, we are looking for candidates with extensive experience in leading Data Science and Advanced Analytics delivery teams, strong statistical programming skills in Python, R, SAS, S-plus, MATLAB, STATA, or SPSS, experience with large data sets and big data tools like Snowflake, AWS, Spark, etc. Additionally, solid knowledge in areas such as Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling, Multivariate Statistics, and more is required. Experience in business domains like CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, and Supply Chain is preferred. The ideal candidate will have extensive experience in client engagement and business development, the ability to work in a global collaborative team environment, and manage medium-small sized teams or work efforts. You should be comfortable working on moderately complex problems, creating new solutions, and adapting existing methods and procedures as needed. This role may require working in rotational shifts. Join us at Accenture and be part of a global professional services company where you can leverage your skills and expertise to drive meaningful change and create value for clients across various industries.,

As an Analytics Associate Manager in the Insights and Intelligence vertical at Accenture, you will be responsible for generating insights using the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to clients. Your expertise will be crucial in building world-class solutions, tackling business problems, and overcoming technical challenges using AI Platforms and technologies. It will be essential for you to leverage existing frameworks, standards, and patterns to establish architectural foundation and services needed for scalable AI applications, demonstrating your expertise through active blogging, publishing research papers, and creating awareness in this emerging field. You will be a key member of the Marketing & Customer Analytics team, which focuses on measuring, managing, and analyzing marketing activities to provide actionable insights and recommendations for optimizing ROI and operational efficiency. Your exposure to digital marketing, A/B testing, MVT, Google Analytics/Site Catalyst will be valuable in this role. Additionally, you will play a vital role in the Accenture Operations global Applied Intelligence group, working with machine learning and advanced analytics to drive data-driven decision-making and business transformation. Your responsibilities will include leading a team of data scientists to develop and deploy data science models, refining and enhancing these models based on feedback and evolving business needs. You will analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. We are looking for candidates with extensive experience in leading Data Science and Advanced Analytics delivery teams, strong statistical programming skills in Python, R, SAS, S-plus, MATLAB, STATA, or SPSS, and experience with large data sets and big data tools like Snowflake, AWS, and Spark. Moreover, you should have solid knowledge in areas such as Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling, Multivariate Statistics, Non-parametric Methods, Reliability Models, Markov Models, Stochastic models, Bayesian Models, and experience in domains like CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, and Supply Chain. Your role will involve client engagement, business development, and working in a global collaborative team environment. In summary, as an Analytics Associate Manager at Accenture, you will play a crucial role in leveraging data science and advanced analytics to drive insights and value for clients, while contributing to the growth and success of the organization.,

As a Data Scientist for AI Products at Linde, you will be an integral part of the Artificial Intelligence team within Linde's global corporate division. Your primary responsibility will involve working on real business challenges and opportunities across multiple countries. Your focus will be on supporting the AI team in extending existing AI products and developing new ones to cater to various use cases within Linde's business and value chain. Collaboration with diverse teams including Project Managers, Data Scientists, Data and Software Engineers will be a key aspect of your role. You will directly work with a variety of data sources, types, and structures to derive actionable insights. Developing, customizing, and managing AI software products based on Machine and Deep Learning backends will be among your core tasks. Your role will also entail supporting the replication of existing products and pipelines to other systems and geographies, defining data requirements for new developments, and interacting with business functions to identify opportunities with potential business impact. To excel in this role, you are required to have a Bachelor's or Master's degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research, or a related field. A strong understanding and practical experience in Multivariate Statistics, Machine Learning, and Probability concepts are essential. Additionally, hands-on experience with preprocessing, feature engineering, data cleansing, and Python programming skills are crucial. Proficiency in handling large datasets using SQL, knowledge of data architectures, and experience with data visualization tools like Tableau or PowerBI are desired. Your result-driven mindset, excellent communication skills, and ability to structure projects from ideation to implementation will be valuable assets in this role. Fluency in English is a must, and any experience with DevOps, MS Azure, Azure ML, Kedro, Airflow, MLflow, or similar tools will be advantageous. Working at Linde offers you the opportunity to be part of a leading global industrial gases and engineering company with a strong commitment to sustainable development and customer success. If you are looking for a challenging yet rewarding career where you can make a positive impact on the world, Linde provides limitless possibilities for your professional growth. Join us in our mission to make the world more productive and sustainable. Let's talk about how you can contribute to our team!,