Job Description
NexaCore Analytics is seeking a visionary Senior Data Scientist to join our elite Engineering and Analytics division. In this role, you will bridge the gap between raw data and strategic decision-making, utilizing state-of-the-art machine learning architectures to drive innovation. We are looking for a technical powerhouse who thrives in a fast-paced environment and is passionate about building scalable, production-grade AI solutions that redefine industry standards.
As a key member of our team, you will enjoy a culture of technical excellence, continuous learning, and significant autonomy in choosing the tools and methodologies that deliver the best results.
Responsibilities
- Architect, develop, and deploy production-level machine learning models to optimize core business processes.
- Collaborate with product and engineering teams to integrate data-driven features into our flagship platform.
- Lead experimental design and analysis, including complex A/B testing and multivariate statistical modeling.
- Extract and process massive datasets from distributed sources using SQL and Spark.
- Mentor junior team members and foster a culture of data literacy across the organization.
- Communicate complex technical findings to non-technical executive stakeholders through compelling visualizations.
Qualifications
- Master’s or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
- Minimum 5+ years of professional experience as a Data Scientist or Machine Learning Engineer.
- Expert-level proficiency in Python and deep familiarity with libraries such as PyTorch, TensorFlow, or Scikit-Learn.
- Extensive experience with cloud computing platforms, specifically AWS (Sagemaker, Redshift, S3).
- Proven track record of deploying models into production environments at scale.
- Exceptional problem-solving skills and the ability to work independently on ambiguous data challenges.