Specialist Data Scientist

Summary

Join NICE Actimize, a leading provider of financial crime solutions, as a Specialist Data Scientist to develop a next-generation advanced analytical cloud platform. You will design and develop predictive and generative models, utilize statistical techniques, and translate business problems into analytical solutions. Collaborate with cross-functional teams, mentor junior data scientists, and stay updated on the latest advancements in data science. This role requires a strong background in data science and machine learning, including experience with generative AI. NICE offers a challenging work environment, competitive compensation and benefits, and a flexible hybrid work model.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred
• Minimum of 8 years of hands-on experience in data science and machine learning, with at least 3 years of experience in Generative AI development
• Proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, Hugging Face - Transformers, LangChain etc.)
• Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning
• Strong understanding of LLMs, NLP techniques, and evaluation methods for generative outputs
• Solid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains
• Excellent problem-solving skills and ability to work independently as well as collaboratively in a fast-paced environment
• Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences
• Proven leadership abilities, with experience in mentoring junior team members and leading cross-functional projects

Responsibilities

• Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment
• Design and develop predictive and generative models to extract actionable insights from large and complex datasets
• Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data
• Translate business problems into analytical solutions in partnership with Product, Engineering, and domain SMEs
• Mentor and upskill junior data scientist, champion best practices in code quality, experimentation, and documentation
• Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges

Preferred Qualifications

• Experience working in industries such as finance, banking
• Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services for building and deploying machine learning models
• Knowledge of data visualization tools (e.g., Tableau, Power BI) for creating interactive dashboards and reports
• Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects
• Experience in implementing RAG pipelines, combining LLMs with external knowledge bases or vector databases
• Hands-on experience with vector databases (e.g. Pinecone) and embedding techniques

Benefits

• Competitive compensation, and benefits
• NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week