Overview
Data Science Career Advancement
Immerse yourself in a dynamic environment where innovative solutions are the norm.
Responsibilities
- Contribute to building cutting-edge machine learning models that propel business growth and optimize operations.
- Collaborate with experienced professionals to develop and deploy data-driven solutions, enhancing customer experiences and driving strategic decision-making.
- Develop and maintain large-scale data platforms using Databricks, ensuring seamless integration with AzureML and MLflow.
- Design and implement sophisticated machine learning models, leveraging Python and relevant libraries such as pandas and scikit-learn.
- Work closely with cross-functional teams to embed deployed models into company processes, fostering a culture of collaboration and knowledge sharing.
Requirements
Advanced degree (MSc or PhD) in a relevant field, such as computer science, data science, physics, or engineering.Proven expertise in machine learning theory and its practical application, with a strong foundation in algorithms for classification, regression, and other data science problems.At least 4 years of experience in a similar data science or ML engineering role, with a focus on MLOps and hyperparameter tuning.Proficiency in programming languages, including Python, and familiarity with popular libraries like pandas and scikit-learn.Excellent communication and interpersonal skills, with the ability to convey complex ideas clearly and precisely to diverse audiences.Benefits
Hybrid working model, combining office days with flexible home work arrangements.Comprehensive benefits package, including health insurance, life insurance, and training opportunities.Opportunities for professional growth and development, with a focus on self-improvement and staying up-to-date with industry trends.Join our dynamic team and embark on a career journey that combines technical expertise with strategic vision, driving innovation and excellence in the field of data science.
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