Job Description
Are you a visionary Data Scientist looking to revolutionize the way the world processes information?
Nebula Analytics is seeking a highly skilled Senior Data Scientist to lead our advanced AI initiatives. In this pivotal role, you will bridge the gap between complex statistical modeling and real-world business applications, driving innovation across our product suite. If you thrive in a fast-paced, collaborative environment and are passionate about solving hard problems with data, we want to meet you.
Why Join Nebula Analytics?
- Impactful Work: Directly influence the core architecture of our AI-driven platform.
- Top-Tier Talent: Work alongside industry experts in a culture of continuous learning.
- Competitive Compensation: Comprehensive benefits package including health, dental, and vision.
Responsibilities
- Model Development: Design, train, and deploy scalable machine learning models using Python and deep learning frameworks.
- Data Strategy: Collaborate with engineering and product teams to translate business requirements into data-driven solutions.
- Feature Engineering: Analyze vast datasets to identify patterns and develop innovative feature sets that enhance model accuracy.
- Production Deployment: Oversee the end-to-end deployment of models into production environments using MLOps best practices.
- Research & Innovation: Stay abreast of the latest academic research in NLP, Computer Vision, or Reinforcement Learning to apply cutting-edge techniques.
Qualifications
- Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Technical Skills: Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and experience with deep learning libraries (TensorFlow, PyTorch, Keras).
- Database Knowledge: Expert level SQL skills and experience working with large-scale data warehouses (e.g., Snowflake, BigQuery).
- Experience: 5+ years of professional experience in data science or machine learning engineering roles.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.