Data Scientist

📋 Description

• • Join NICE's cutting-edge Research Group and play a pivotal role in shaping the future of Artificial Intelligence, influencing technologies used by organizations worldwide.
• • As a Data Science Researcher, you will be at the forefront of designing and developing advanced algorithms, with a primary focus on Natural Language Processing (NLP), Computer Vision, and multimodal domains, placing a strong emphasis on the innovative application of Large Language Models (LLMs).
• • Your contributions will directly impact the development of production-grade capabilities for NICE's industry-leading contact center solutions, driving significant advancements in customer experience technology.
• • This role offers a unique opportunity to collaborate closely with a team of talented researchers, subject matter experts, and engineers, fostering an environment of continuous exploration and innovation.
• • You will be instrumental in exploring novel ideas, rigorously validating hypotheses, and seamlessly transferring groundbreaking research innovations into practical, real-world applications that deliver tangible value.
• • If you possess an insatiable curiosity, a creative mindset, and a passion for impactful, state-of-the-art machine learning, this position is an exceptional fit for your career aspirations.
• • Conduct in-depth research and develop sophisticated prototypes for advanced machine learning algorithms across the critical domains of NLP, Vision, and multimodal modeling, pushing the boundaries of current AI capabilities.
• • Design, meticulously refine, and rigorously evaluate algorithms that leverage the power of Large Language Models (LLMs), exploring their potential for complex problem-solving and enhanced functionality.
• • Analyze vast, large-scale, real-world datasets to extract meaningful insights, identify trends, and inform the strategic direction of algorithm development, ensuring data-driven decision-making.
• • Play a key role in the critical transition of research prototypes into robust, production-ready solutions, working in close partnership with dedicated engineering teams to ensure successful deployment and integration.
• • Effectively communicate complex research findings, detailed methodologies, and actionable recommendations to a diverse audience, including both technical peers and non-technical stakeholders, ensuring clarity and understanding.
• • Proactively stay abreast of the latest advancements and emerging trends in the rapidly evolving fields of AI and machine learning, contributing actively to the expansion and enrichment of the team’s internal knowledge base and best practices.
• • Contribute to the development of AI agents and sophisticated AI-driven solutions that enhance our product offerings and provide significant competitive advantages.
• • Explore and implement advanced techniques for fine-tuning and evaluating large language models at scale, optimizing their performance and applicability for enterprise solutions.
• • Investigate and apply multimodal and vision-based deep learning approaches to solve complex problems, integrating diverse data modalities for richer insights and more comprehensive solutions.
• • Utilize and experiment with cutting-edge AI coding tools and platforms, such as Claude Code and GitHub Copilot, to accelerate development cycles and enhance coding efficiency.
• • Leverage Generative AI (GenAI) techniques for various data science tasks, including but not limited to, using LLMs as evaluators, generating synthetic datasets, and implementing weak supervision labeling methods.
• • Engage with and contribute to the open-source AI community, particularly through the use of libraries like Hugging Face, fostering collaboration and knowledge sharing.
• • Apply a solid theoretical understanding of machine learning principles and translate this knowledge into practical, impactful applications that solve real-world business challenges.
• • Demonstrate a proven track record of successfully developing and implementing advanced algorithms that have delivered measurable results and business impact.
• • Develop and refine AI models that can understand, process, and generate human language with high accuracy and contextual relevance.
• • Implement and optimize computer vision models for tasks such as image recognition, object detection, and scene understanding.
• • Integrate NLP and Vision capabilities to create powerful multimodal AI systems capable of processing and interpreting information from various sources simultaneously.
• • Contribute to the continuous improvement of our AI research pipeline, from ideation and experimentation to deployment and monitoring.
• • Collaborate with product managers and domain experts to identify opportunities where AI can drive significant business value and enhance user experiences.
• • Participate in the full lifecycle of AI model development, including data collection, preprocessing, feature engineering, model training, evaluation, and deployment.
• • Stay curious and experiment with new AI architectures, techniques, and tools to drive innovation within the team and the company.
• • Mentor junior researchers and engineers, sharing knowledge and fostering a culture of learning and growth within the AI team.
• • Contribute to the company's intellectual property through publications, patents, or internal knowledge sharing initiatives.
• • Work within an agile development environment, adapting to changing priorities and delivering high-quality results in a fast-paced setting.
• • Ensure the ethical and responsible development and deployment of AI technologies, adhering to company guidelines and industry best practices.
• • Analyze performance metrics and user feedback to iterate on and improve AI models, ensuring they meet user needs and business objectives.