Senior Data Scientist, Actimize

So, what s the role all about?

We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate should have a minimum 5 of years of experience in data science, with hands-on experience in developing and implementing Generative AI solutions. The Senior Data Scientist will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems.

How will you make an impact?

• 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.

Have you got what it takes?

• 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 1 year 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.
• Experience in implementing RAG pipelines, combining LLMs with external knowledge bases or vector databases.
• 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.

You will have an advantage if you also have :

• 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)

What s in it for you?

Enjoy NICE-FLEX!

Requisition ID: 5698
Reporting into: Tech Manager
Role Type: Individual Contributor