Job Description
About Data 26 Labs
We are at the forefront of the next industrial revolution, leveraging cutting-edge algorithms to solve complex problems. As a Senior Data Scientist at Data 26 Labs, you will lead the Data 26 initiative, transforming raw data into actionable intelligence that drives business growth.
The Role
In this high-impact role, you will architect scalable machine learning solutions and mentor a team of data professionals. We are looking for a visionary thinker who thrives in a fast-paced environment and is passionate about the future of data analytics.
Why Join Us?
- Competitive salary and equity package.
- Flexible remote and hybrid work options.
- Access to the latest hardware and cloud infrastructure.
- Professional development and continuous learning opportunities.
Responsibilities
- Design and implement advanced machine learning models to solve enterprise-scale challenges.
- Lead the end-to-end data pipeline development, ensuring data quality, integrity, and scalability.
- Collaborate with cross-functional teams to translate business requirements into technical data solutions.
- Optimize existing algorithms to improve model accuracy, speed, and efficiency.
- Present complex analytical findings to stakeholders and executive leadership.
- Stay current with industry trends and emerging technologies in AI and Big Data.
Qualifications
- Master’s degree in Computer Science, Statistics, Mathematics, or a related field (PhD preferred).
- 5+ years of professional experience in data science or machine learning engineering.
- Strong proficiency in Python, R, and SQL.
- Deep understanding of machine learning libraries (Scikit-learn, TensorFlow, PyTorch).
- Experience with cloud platforms (AWS, GCP, or Azure).
- Excellent problem-solving skills and the ability to work independently.