
Lead Data Innovator
1 semana atrás
At the forefront of data-driven innovation, we are seeking a visionary Data Scientist to spearhead advanced analytics solutions and drive business growth.
The Opportunity- Design and deploy machine learning models and analytics solutions that power data-informed decisions across our organization.
- Source, collect, and analyze new data sources to fuel business insights.
- Collaborate closely with development teams to implement features into production environments.
- Translate complex technical concepts into actionable business insights for key stakeholders.
- Research and implement emerging AI/ML technologies, particularly in generative AI and modern data science tools.
- Contribute to data science roadmaps and architectural decisions for scalable analytics solutions.
Working with large-scale datasets, you will develop and implement machine learning models in production environments, leveraging emerging AI technologies like LLMs to solve complex business problems. By combining technical excellence with business acumen, you will help establish a robust data foundation driving innovation and growth.
This is an exceptional opportunity to work on cutting-edge projects, collaborate with a diverse team of experts, and make a meaningful impact on our business through data-driven insights.
Key Responsibilities:
- Develop and deploy machine learning models and analytics solutions.
- Source and analyze new data sources.
- Collaborate with development teams.
- Translate technical concepts into business insights.
- Research and implement emerging AI/ML technologies.
- Contribute to data science roadmaps and architectural decisions.
Requirements:
- Advanced degree in Computer Science, Statistics, or related field.
- Proven experience in machine learning and data analysis.
- Strong programming skills in languages such as Python or R.
- Experience with big data technologies and cloud-based platforms.
- Excellent communication and collaboration skills.
What We Offer:
- A dynamic and supportive work environment.
- Opportunities for professional growth and development.
- Competitive salary and benefits package.
- Recognition and rewards for outstanding performance.
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