Senior Data Scientist

Summary

Join NICE, a global leader in AI, cloud, and digital solutions, as a Senior Data Scientist in Pune, India. This role requires a minimum of four years of data science experience, including hands-on Generative AI development. You will develop and deploy machine learning models, collaborate with cross-functional teams, and translate business needs into impactful analytical solutions. The ideal candidate possesses strong programming, statistical, and communication skills, along with proven leadership abilities. NICE offers a flexible hybrid work model (NICE-FLEX) with opportunities for professional growth and development within a dynamic and collaborative environment. This position offers the chance to work on cutting-edge projects and contribute to a market-disrupting company.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred
• Minimum of 4 years of hands-on experience in data science and machine learning , with at least 6 months 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
• Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects

Responsibilities

• Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment
• Develop predictive models and machine learning algorithms to extract actionable insights from large and complex datasets
• Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data
• Collaborate with stakeholders to understand business requirements and translate them into analytical solutions that drive value and impact
• 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
• Hands-on experience with vector databases (e.g. Pinecone) and embedding techniques

Benefits

• Enjoy NICE-FLEX!
• At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week