Full Stack Data Scientist - Remote

Overview

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in both data science and software engineering, with a focus on developing end-to-end data-driven solutions. This role offers an exciting opportunity to leverage advanced analytics and cutting-edge technologies to drive impactful business outcomes.

In Short

• Develop robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets.
• Conduct comprehensive exploratory data analysis to uncover patterns and insights.
• Create interactive visualizations and dashboards to communicate findings.
• Design, develop, and deploy predictive models using advanced machine learning algorithms.
• Build scalable software solutions for deploying machine learning models.
• Establish monitoring mechanisms to track model performance.
• Collaborate with cross-functional teams and communicate technical concepts effectively.
• Implement strategies for data quality assessment and assurance.
• Optimize model performance through feature engineering and hyperparameter tuning.
• Conduct regular maintenance activities for data science solutions.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience in data preprocessing and exploratory data analysis.
• Proficiency in programming languages such as Python, R, and SQL.
• Strong understanding of machine learning algorithms and statistical modeling techniques.
• Hands-on experience with machine learning libraries/frameworks such as TensorFlow and PyTorch.
• Experience in developing end-to-end data science solutions in cloud environments.
• Solid understanding of software engineering principles.

Benefits

• Opportunity to work in a dynamic and innovative environment.
• Engagement in impactful projects leveraging advanced technologies.
• Collaboration with cross-functional teams.
• Commitment to professional development and growth.
• Flexible working arrangements.