Role Overview
The Data Scientist is responsible for transforming operational data into actionable insights that improve business performance. The role owns end-to-end delivery: problem framing, dataset and metric design, dashboard development, and the implementation of GenAI-enabled solutions.
What You Will Do
The successful candidate will be responsible for delivering reliable solutions that are adopted by business users, partnering with stakeholders to identify high-impact opportunities, and translating business needs into analytical questions.
Why It Might Be a Fit
The ideal candidate will be delivery-oriented, collaborative, and capable of shipping reliable solutions that improve business performance.
Requirements
- 5+ years of experience in data analytics, BI, data science, data engineering, or adjacent roles with end-to-end delivery ownership
- Strong quantitative reasoning and ability to translate ambiguous business problems into structured analyses and decisions
- Demonstrated proficiency in SQL and relational databases, Python for data manipulation and analysis, and dashboarding and data storytelling fundamentals
- Practical experience delivering RAG using a vector database, LLM-based structured extraction into JSON / schemas, or LLM integration via APIs into an end-user workflow
- Strong communication and stakeholder management skills; able to deliver iteratively in time-boxed environments
Benefits
- Competitive salary
- Opportunities for growth and development
- Collaborative and dynamic work environment
- Flexible working hours
- Comprehensive benefits package
To apply for this job please visit averis.wd3.myworkdayjobs.com.
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