Senior Data Scientist

Responsibilities:
Leverage advanced statistical modeling and machine learning techniques to solve business challenges across diverse industries.
Design and implement scalable data-driven solutions to address business needs and improve decision-making.
Perform data analysis, interpret results, and develop compelling data visualizations to communicate insights.
Contribute to the creation, maintenance, and enhancement of data models and analytical tools.
Collaborate with cross-functional teams to ensure insights are actionable and aligned with business goals.
Present data findings and recommendations clearly to both technical and non-technical stakeholders.
Support the development and continuous improvement of data processes and methodologies.
Preferred Qualifications:
Bachelor s, Master s, or PhD degree in Mathematics, Computer Science, Information Systems, Statistics, Applied Mathematics, Machine Learning, or a closely related field.
5 years of experience in data science or machine learning, focusing on building predictive models and analytics solutions for real-world business problems.
Strong proficiency in Statistical Modeling, Machine Learning algorithms, and Python programming.
Ability to manage multiple tasks simultaneously with strong organizational and time management skills.
Proven ability to effectively communicate complex analytical insights in a clear and concise manner.
Experience working in agile development environments, contributing to projects with a focus on delivering business value.
Demonstrated ability to work independently as well as part of a collaborative, remote team.