6 Regression Modelling Jobs

Data Reporting & Dashboarding team responsible for designing, developing, and maintaining interactive dashboards and data reports to support business decision-making. The team will focus on data lookup, validation, visualization, and performance reporting across multiple business domains. We are seeking professionals at different levels (A3B1) with strong skills in Power BI or Tableau , solid understanding of data analysis and reporting logic , and hands-on experience working with large datasets. Key Responsibilities: Develop and maintain interactive dashboards and reports using Power BI or Tableau . Perform data validation, quality checks, and consistency analysis to ensure accurate reporti...

Who We Are Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world's leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation and boost business productivity. We listen, learn, question, discover, innovate...

About the Role We are seeking an experienced Lead Engineer to drive the design, development, and scaling of AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. In this role, you will not only be hands-on with technology but also take ownership of architecture decisions, technical strategy, and mentoring the Core AI Services team. You will work closely with cross-functional stakeholders to deliver innovative, production-grade AI capabilities at scale. Key Responsibilities Lead the design and delivery of scalable, fault-tolerant cloud-native services on Microsoft Azure. Own the development of secure, well-documented public APIs and SDKs for global develop...

As a Senior Statistician at Rhythm, you will play a crucial role in leading statistical research, designing experiments, and developing predictive models to ensure robust data-driven insights. Your responsibilities will involve collaborating closely with data scientists, AI engineers, and business stakeholders to build scalable and interpretable statistical models that support Rhythm Innovations" AI initiatives. Your expertise in statistical methodologies and machine learning will be instrumental in enhancing the accuracy, reliability, and fairness of AI-driven solutions. Analyzing customer data to identify patterns, establish correlations, and derive actionable insights to enhance AI soluti...

Roles & Responsibilities Displays structured problem solving, application of right tools & techniques to solve open ended problems, Creates productized analytics solutions or frameworks independently. Understand Business & product problems and come up with deep data backed solutions. Root cause analysis and Deep dive analysis of certain product problems Running and maintaining the reporting system, presenting insights at a weekly forum Building templates, dashboards in Excel or on the intranet for operational and management reporting Data extraction as per business team request for Ad hoc analysis Business analysis and understanding Evaluating metrics to be tracked as per business goals, exp...

Collaborate with cross-functional teams to understand business requirements and develop AI-based solutions Utilize AI modeling and machine learning techniques to analyze data and create predictive and forecasting models Apply time series models to identify patterns and trends for proactive maintenance strategies Implement regression, logistic regression, decision tree, random forest, xgboost, bagging, and boosting algorithms to optimize predictive models Design and deploy industrial AI and IIOT solutions to enhance operational efficiency and reliability Utilize artificial neural networks, deep learning, computer vision, RNN, CNN, and reinforcement learning to develop advanced AI solutions Co...