Data Science Lead - CREQ169842

Key Skills

Analytical and Problem solving, Apache Hadoop, D3.js, Julia, Large Language Models - LLMs, matplotlib, Natural Language Processing (NLP), Python Programming, Spark Core, Tableau

Job Description

Description

We are seeking a highly skilled and motivated Data Scientist with expertise in LLM (Language and Learning Models) solution building to join our team. As a Data Scientist, you will be responsible for leveraging advanced analytics techniques and machine learning algorithms to develop innovative solutions using LLM technologies. You will work closely with cross-functional teams to identify business challenges and design data-driven solutions to address them.

Responsibilities:

• Utilize LLM technologies and machine learning algorithms to develop advanced analytical models and algorithms for solving complex business problems.Work closely with stakeholders to understand their requirements and identify opportunities to leverage LLM solutions.

• Gather and preprocess large datasets from various sources, ensuring data quality and integrity.

• Apply statistical analysis and data mining techniques to extract insights and patterns from structured and unstructured data.

• Build predictive models and algorithms to generate actionable insights and drive decision-making.

• Collaborate with software engineers and developers to deploy and integrate LLM solutions into production systems.

• Evaluate and optimize the performance of LLM models, identifying areas for improvement and implementing enhancements.

• Stay updated with the latest advancements in LLM technologies and contribute to the development of best practices within the organization.

• Communicate findings and insights to non-technical stakeholders effectively, using visualizations and presentations.

• Participate in research activities and contribute to the development of intellectual property in the field of LLM.

Requirements:

• Bachelors degree in Computer Science, Data Science, Statistics, or a related field. A master's or Ph.D. degree is preferred.

• Strong background in machine learning, statistical analysis, and data mining techniques.

• Experience in developing and implementing LLM-based solutions, utilizing frameworks such as GPT, BERT, or similar.

• Proficiency in programming languages such as Python, R, or Julia.

• Solid understanding of natural language processing (NLP) techniques and applications.

• Familiarity with data visualization tools and libraries such as Tableau, Matplotlib, or D3.js.

• Experience working with large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.

• Strong problem-solving skills and the ability to work independently and in a team-oriented environment.
• Excellent communication and presentation skills, with the ability to convey complex ideas to both technical and non-technical stakeholders.
• Strong attention to detail and a passion for continuous learning and professional development.