
Chief Data Insights Architect
1 week ago
As a Senior Data Scientist, you will be responsible for collecting, cleaning, and analyzing large datasets to derive insights and build predictive solutions.
You will design and deploy Machine Learning (ML) and Deep Learning (DL) models that solve business problems such as customer insights, forecasting, and optimization.
Collaborate with cross-functional teams to integrate AI solutions into business workflows and build dashboards, reports, and visualizations for business stakeholders.
Experience with Large Language Model (LLM)-based applications is a plus, including API integration, prompt engineering, fine-tuning, and customization.
The ideal candidate should have 5+ years of experience in applied Data Science with production deployments and a strong foundation in statistical analysis and machine learning concepts.
- Collect, clean, and analyze large datasets
- Design and deploy ML/DL models
- Collaborate with cross-functional teams
- Build dashboards, reports, and visualizations
- Stay updated with industry trends and contribute to knowledge sharing within the team
- Develop and implement data-driven solutions to drive business growth
- Collaborate with data engineers to design and deploy scalable data pipelines
- Work with cross-functional teams to integrate AI solutions into business workflows
- Advanced degree in Data Science or related field
- Proficiency in programming languages such as Python, R, or SQL
- Strong understanding of machine learning algorithms and deep learning concepts
- Experience with data visualization tools such as Tableau or Power BI
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