We are seeking a talented and motivated
Data Scientist
to join our team and contribute to the development of data-driven solutions that address real-world business challenges. This role offers the opportunity to work with advanced machine learning models, large datasets, and modern analytics tools in a collaborative, innovation-focused environment. If you have a passion for extracting insights from data, a strong foundation in statistical analysis and machine learning, and a problem-solving mindset, we’d love to hear from you!
Key Responsibilities
Collect business requirements and translate them into technical solutions and algorithm specifications
Design, develop, and implement analytics solutions using sound engineering principles and best practices
Conduct risk analysis, conceptual design reviews, and ensure alignment with product requirements
Execute software development in incremental cycles with continuous monitoring and validation
Perform analytics validation at fleet level and manage deployment to production environments
Ensure compliance with data science standards and conduct quality assurance of solutions
Coordinate with cross-functional teams and present results to business stakeholders
Required Qualifications
Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field
3+ years of experience in machine learning, statistical modeling, or related analytical roles
Strong proficiency in Python and solid foundation in machine learning, data analysis, and statistics
Proficiency with statistical analysis and machine learning fundamentals
Hands-on experience with software development best practices and version control systems.
Understanding of SQL and database management systems
Excellent analytical and problem-solving skills with a high attention to detail
Preferred Qualifications
Master's degree in Data Science, Statistics, or a related quantitative field
Experience with advanced machine learning algorithms and ensemble methods
Hands-on knowledge of data preprocessing techniques and feature engineering
Familiarity with cloud-based development and deployment environments.
Understanding of MLOps principles and deployment pipelines.
Experience with deep learning frameworks (TensorFlow, PyTorch) and neural network architectures
Understanding of time series analysis and advanced forecasting technique
Apply now to join our innovative team and help shape the future of AI!