Advanced Data Scientist Position
3 days ago
We're seeking a highly skilled Senior Data Scientist to drive innovation and lead the development of cutting-edge data engineering and AI solutions.
- Create robust, maintainable software systems to support data pipelines, analytics, and AI applications.
- Collaborate with domain experts to design and build AI-driven tools tailored to business needs.
- Develop efficient data ingestion, transformation, and validation pipelines using Python, SQL, and modern libraries.
- Integrate large language models (LLMs) and generative AI APIs into internal tooling.
- Design clean, intuitive user interfaces and data visualizations with libraries like Plotly and Dash.
- Optimize database access and performance for large structured and semi-structured datasets.
Key Responsibilities:
Take projects from concept to production, including testing, documentation, deployment, and iteration. Ensure tools are scalable, secure, and aligned with end-user workflows and UX needs.
Required Skills and Qualifications:- Strong programming skills in Python, with exposure to software engineering best practices (version control, testing, modular code).
- Proficiency with SQL and relational databases.
- Experience working with data pipelines, ETL workflows, and data wrangling techniques.
- Familiarity with ML frameworks such as PyTorch, and data libraries like Pandas and Numpy.
- Exposure to generative AI or LLM APIs and frameworks.
- Understanding of fundamental machine learning and data science concepts.
- Strong written and verbal communication skills, especially in explaining complex technical topics to diverse stakeholders.
- User-focused mindset: you care about who's using your tools and how to make them intuitive, reliable, and useful.
- Team-oriented: you work well with others, ask great questions, and contribute to a collaborative culture.
Benefits:
This role offers the opportunity to work on exciting projects, collaborate with talented professionals, and grow your skills in data engineering and AI.
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