3 Discriminant Analysis Jobs

At Dark Matter Technologies, you are part of a cutting-edge revolution in loan origination. The company's commitment to advanced AI and origination technology solutions is reshaping the industry landscape, paving the way for seamless, efficient, and automated experiences. As a Senior Data Scientist at Dark Matter Technologies, you will play a pivotal role in applying data science and machine learning techniques to tackle complex business challenges and foster innovation. With a minimum of 10 years of experience in the field, your expertise will be pivotal in designing, developing, and implementing sophisticated models for regression, predictions, ranking, and trend analysis. Your responsibilities will include selecting features, building, and optimizing classifiers using machine learning techniques, conducting hypothesis testing, and developing predictive models. Collaborating with cross-functional teams, including data engineers, front-end developers, and security specialists, you will integrate AI models into business solutions. Additionally, you will conduct research and experiments to enhance AI models and algorithms, staying updated on the latest AI/ML technologies and trends. To excel in this role, you must possess at least 10 years of experience in Predictive Analytics and Data Mining, with hands-on expertise in areas such as Linear Regression, Classification Techniques, Logistic Regression, and Unsupervised Learning techniques like k-means/hierarchical clustering. Proficiency in Optimization methods, working in R/Python, T-SQL, and graph-based models is essential. Hands-on experience with Python, Azure Machine Learning, and other Azure AI tools is highly desirable. Your role will involve developing and deploying machine learning models for various use cases, optimizing models through advanced feature engineering, working with large-scale datasets, and collaborating with stakeholders to design data science solutions that address organizational needs. Strong problem-solving skills, solid understanding of statistical analysis and machine learning algorithms, and excellent communication skills are key attributes for success in this position. Preferred skills include exposure to machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, leveraging Azure Machine Learning for data pipelines, experiments, and deployments, and implementing end-to-end AI solutions using Azure AI services. Certification in Microsoft Azure AI relative to Azure Machine Learning, expert database knowledge in SQL, and proficiency in Azure Data Services are advantageous. Join Dark Matter Technologies to be at the forefront of data science innovation and contribute to reshaping the future of loan origination through advanced AI technologies and solutions.,

You will be joining Dark Matter Technologies, a company leading the tech-driven revolution in loan origination with cutting-edge AI and origination technology solutions. As a Senior Data Scientist, your role will involve building machine learning models, using various algorithms for regression, prediction, and deep learning. You will be responsible for identifying data sources, analyzing data, writing machine code in Python (or Azure ML), and creating models. The job location is in Hyderabad and Bhubaneswar. Your responsibilities will include selecting features, building, and optimizing classifiers using machine learning techniques, conducting hypothesis testing, and developing predictive models. You will collaborate with cross-functional teams to integrate AI models into business solutions, conduct research to improve AI models and algorithms, and stay updated with the latest AI/ML technologies and trends. Additionally, you will implement and deploy AI models using cloud AI services while ensuring the quality and scalability of AI solutions. To qualify for this role, you should have at least 10 years of experience in Predictive Analytics and Data Mining, with hands-on experience in various areas such as linear regression, classification techniques, logistic regression, unsupervised learning techniques, feature reduction methods, and optimization methods. You must be proficient in working with R/Python, T-SQL, and graph-based models, with hands-on development experience in Python. Understanding of Azure Machine Learning and other Azure AI tools is essential, along with proficiency in data modeling, design, SQL development, and deploying machine learning models for key use cases. Preferred skills include exposure to machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, leveraging Azure Machine Learning for managing data pipelines, experiments, and deployments, and implementing end-to-end AI solutions using Azure AI services. Certification in Microsoft Azure AI relative to Azure Machine Learning, expert database knowledge in SQL, and proficiency in Azure Data Services are also advantageous. You should possess strong problem-solving skills, the ability to work independently and as part of a team, excellent communication skills to convey complex technical concepts to non-technical stakeholders, and a solid understanding of statistical analysis and machine learning algorithms. Your role will involve working with large-scale datasets, ensuring efficiency and scalability in data processing, collaborating with stakeholders to design data science solutions, and presenting analytical findings and business insights to project managers and senior leadership. Keeping abreast of new statistical and machine learning techniques is crucial to improve predictive performance.,

As a Market Research Analyst at ChatterPe, you will be responsible for collaborating with clients to develop tailored solutions that align with their objectives. Your role will involve creating strategies for data collection through methods like surveys, questionnaires, and opinion polls. Furthermore, you will be tasked with gathering and analyzing data on consumers, competitors, and market trends using statistical software. Your responsibilities will also include translating intricate data and insights into easily understandable formats such as tables, graphs, and written reports. It will be crucial for you to oversee all stages of the research process, ensuring the timely achievement of milestones. To excel in this role, you should possess a degree in Statistics, Marketing, Business Administration, or a related field. Previous experience in a similar position will be advantageous. Proficiency in managing both qualitative and quantitative research projects is essential. Additionally, you should have a strong background in questionnaire design, table specifications, and project management. The ideal candidate will be skilled in performing various statistical analyses like regression, conjoint, cluster, and discriminant analysis. Familiarity with consolidating data from multiple sources to craft a cohesive narrative is preferred. Proficiency in business visualization tools such as Power BI and Tableau, along with statistical packages like SPSS, SAS, or similar, is required. Excellent communication and presentation abilities are also key for this role. If you are seeking a Full Time or Part Time position as a Market Research Analyst in Gurugram, and you meet the above criteria, we encourage you to apply and be a part of our dynamic team at ChatterPe.,