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Data Science Specialist
2 weeks ago
The ideal candidate for this position will possess a deep understanding of machine learning concepts and be able to apply them in real-world scenarios.
- Technical Skills:
- Strong proficiency in Python, with experience building, deploying, and evaluating ML/NLP/GenAI systems
- Familiarity with SQL, including advanced querying techniques and data modeling
- Experience with software engineering best practices, including testing, object-oriented programming, and continuous integration
- Knowledge of cloud systems, particularly Azure, and the ability to design and deploy scalable data science products
- Soft Skills:
- Excellent communication skills, with the ability to break down complex technical concepts into actionable strategies
- Proven experience working closely with cross-functional teams, including data scientists, data engineers, software engineers, and business partners
- A customer-centric mindset, with a focus on delivering value and executing projects efficiently
- Educational Background:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
- Advanced knowledge of mathematical foundations of statistics and machine learning, including experimental design and analysis
- Additional Requirements:
- Hands-on experience designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments
- Development experience in one or more object-oriented programming languages, such as Python, Go, Java, or C++
- Advanced SQL knowledge and familiarity with data lifecycle stages