
Senior Data Analyst Role
7 days ago
Data Science Opportunity
Job Description:The ideal candidate should demonstrate a minimum level of proficiency in several key areas.
- Programming Skills: Strong Python and intermediate SQL knowledge are required.
- Machine Learning Experience: The candidate should have experience building, deploying, and evaluating ML/NLP/GenAI systems.
- System Design: Knowledge of ML system design is necessary.
- Communication Skills: Very strong (including written) communication skills and the ability to break down complex tasks into implementation strategies are essential.
- Software Engineering Practices: Familiarity with software engineering best practices, including testing, OOP, etc. is required.
- Cloud Systems: Knowledge of cloud systems, especially Azure preferred.
- Mathematical Optimizers: A traditional ML perspective, some knowledge and understanding of mathematical optimizers, how to select the best ones for purpose and set parameters.
The successful candidate must have:
- Collaboration Experience: Experience working closely with other data scientists, data engineers' software engineers, data managers, and business partners.
- Product Development: Ability to build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
- Data Analysis: Capability to carry out data analyses to yield actionable business insights.
- Technical Expertise: Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments.
- Tool Proficiency: Applied knowledge of data science tools and approaches across all data lifecycle stages.
- Mathematical Foundations: Thorough understanding of underlying mathematical foundations of statistics and machine learning.
- Programming Languages: Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).
- SQL Knowledge: Advanced SQL knowledge.
- Experimental Design: Knowledge of experimental design and analysis.
- Customer-Centric Mindset: Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
The selected candidate will enjoy:
- Opportunity to grow professionally.
- Chance to work with a talented team.
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