Lead- Data Science

Job Summary

The Lead Data Scientist will be responsible for driving data science initiatives and leading a team of data scientists to develop innovative solutions using Artificial Intelligence, Generative AI, and Machine Learning. This role requires a strong background in Python and Large Language Models (LLM) to enhance data-driven decision-making across the organization.

Duties and Responsibilities

• Lead the design and implementation of data science projects from conception to deployment.
• Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
• Mentor and guide junior data scientists in best practices and methodologies.
• Develop and maintain machine learning models and algorithms to solve complex business problems.
• Stay updated with the latest advancements in AI and machine learning technologies.
• Communicate findings and insights to stakeholders through presentations and reports.

Qualifications and Requirements

• Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field.
• 5-7 years of experience in data science or a related field.
• Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Strong understanding of machine learning algorithms and techniques.
• Experience with Large Language Models (LLM) and Generative AI.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Key Competencies

• Strong analytical and critical thinking skills.
• Effective communication and presentation skills.
• Ability to work collaboratively in a team-oriented environment.
• Adaptability and willingness to learn new technologies.
• Project management skills to oversee multiple projects simultaneously.

Performance Expectations

• Deliver high-quality data science solutions within project timelines.
• Demonstrate leadership by fostering a collaborative team environment.
• Achieve measurable improvements in business outcomes through data-driven insights.
• Continuously enhance technical skills and knowledge in the field of data science.

Salary and Benefits

The salary for this position will be competitive and commensurate with experience. Benefits include health insurance, retirement plans, paid time off, and opportunities for professional development.