Applied Data Scientist

Job Description As an Applied Data Scientist at Cognyte, you will be working closely with data engineers, research scientists, and software engineers to develop and implement advanced machine learning models and algorithms. Your contribution will play a significant role in leveraging data-driven insights to enhance Cognyte's products and provide valuable solutions to customers. This position offers an exciting opportunity to contribute to cutting-edge AI technologies in various fields such as NLP, computer vision, pattern recognition, and Large Language Models (LLM). **Key Responsibilities:** - Develop, implement, and optimize machine learning models and algorithms, focusing on LLM-related AI applications. - Collaborate with data engineers to design and implement data processing pipelines for efficient model training and inference. - Fine-tune pre-existing models and customize them to specific domains and customer requirements. - Conduct experiments, analyze model outputs, evaluate performance, and identify areas for improvement. - Stay updated with the latest advancements in machine learning and AI research to leverage emerging techniques and technologies. - Communicate and present technical findings, insights, and recommendations to both technical and non-technical stakeholders. **Qualifications Required:** - MSc or PhD degree in computer science, data science, or related fields. - 5+ years of relevant experience as a Data Scientist, applying machine learning techniques in practical projects. - Solid understanding of machine learning algorithms and techniques with hands-on experience in model development and implementation. - Proficiency in programming languages like Python and experience with machine learning frameworks such as TensorFlow or PyTorch. - Familiarity with data preprocessing techniques, feature engineering, and model evaluation metrics. - Strong collaboration skills and ability to work effectively across teams. - Strong problem-solving skills and analytical thinking for complex business problems. - Attention to detail and ability to thrive in a fast-paced, collaborative environment. If you are seeking a challenging yet rewarding opportunity to be part of a team dedicated to making the world a safer place through innovative technologies, then joining Cognyte as an Applied Data Scientist could be the next step in your career. As an Applied Data Scientist at Cognyte, you will be working closely with data engineers, research scientists, and software engineers to develop and implement advanced machine learning models and algorithms. Your contribution will play a significant role in leveraging data-driven insights to enhance Cognyte's products and provide valuable solutions to customers. This position offers an exciting opportunity to contribute to cutting-edge AI technologies in various fields such as NLP, computer vision, pattern recognition, and Large Language Models (LLM). **Key Responsibilities:** - Develop, implement, and optimize machine learning models and algorithms, focusing on LLM-related AI applications. - Collaborate with data engineers to design and implement data processing pipelines for efficient model training and inference. - Fine-tune pre-existing models and customize them to specific domains and customer requirements. - Conduct experiments, analyze model outputs, evaluate performance, and identify areas for improvement. - Stay updated with the latest advancements in machine learning and AI research to leverage emerging techniques and technologies. - Communicate and present technical findings, insights, and recommendations to both technical and non-technical stakeholders. **Qualifications Required:** - MSc or PhD degree in computer science, data science, or related fields. - 5+ years of relevant experience as a Data Scientist, applying machine learning techniques in practical projects. - Solid understanding of machine learning algorithms and techniques with hands-on experience in model development and implementation. - Proficiency in programming languages like Python and experience with machine learning frameworks such as TensorFlow or PyTorch. - Familiarity with data preprocessing techniques, feature engineering, and model evaluation metrics. - Strong collaboration skills and ability to work effectively across teams. - Strong problem-solving skills and analytical thinking for complex business problems. - Attention to detail and ability to thrive in a fast-paced, collaborative environment. If you are seeking a challenging yet rewarding opportunity to be part of a team dedicated to making the world a safer place through innovative technologies, then joining Cognyte as an Applied Data Scientist could be the next step in your career.