Lead Data Scientist

Overview

As the Lead Data Scientist, you will play a critical role in leveraging data to drive key business decisions and insights. You will lead a team of data scientists, driving the development and implementation of cutting-edge data science solutions to solve complex business problems.

Key responsibilities

Key Responsibilities:

Lead and mentor a team of data scientists in developing innovative data-driven solutions.

Collaborate with cross-functional teams to identify and prioritize business challenges and opportunities.

Design, develop, and implement advanced machine learning algorithms and statistical models.

Lead the analysis of large, complex datasets to derive actionable insights.

Develop and maintain scalable, efficient, and automated processes for large-scale data analysis and model development.

Conduct in-depth research to identify emerging trends and technologies in data science and analytics.

Provide strategic guidance and recommendations on data-related decisions across the organization.

Communicate complex findings and insights to non-technical stakeholders in a clear and compelling manner.

Ensure the data science team adheres to best practices and maintains high data quality standards.

Collaborate with IT teams to drive continuous improvement in data infrastructure and architecture.

Lead the exploration and implementation of new tools and technologies to enhance the data science capabilities of the team.

Contribute to the development of data science strategy and roadmap.

Stay updated on industry best practices and contribute to building a culture of knowledge sharing and continuous learning within the team.

Lead and oversee the execution of data science projects from conceptualization to delivery.

Required qualifications

Required Qualifications:

Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related field.

Minimum of 7 years of experience in data science and machine learning.

Demonstrated experience in leading and managing a team of data scientists.

Proficiency in programming languages such as Python, R, or Java.

Solid understanding of statistical analysis, experimental design, and hypothesis testing.

Proven expertise in developing and implementing machine learning algorithms and models.

Experience with big data technologies and distributed computing platforms (e.g., Hadoop, Spark).

Strong knowledge of data visualization tools and techniques.

Excellent problem-solving skills and the ability to think critically and analytically.

Exceptional communication and presentation skills, with the ability to convey complex information to diverse audiences.

Hands-on experience with cloud platforms and services, such as AWS or Azure.

Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

Experience in leading the development and implementation of data science strategies and initiatives.

Strong project management skills and ability to drive projects to successful completion.

Track record of driving business impact through data-driven insights and recommendations.