NORY is seeking a Senior Data Scientist specializing in Applied Machine Learning to drive innovative AI solutions. Join our remote contract team to apply advanced ML techniques to real-world challenges and deliver impactful results.

About the Role

As a Senior Data Scientist - Applied Machine Learning at NORY, you will lead the development and deployment of state-of-the-art machine learning models to solve complex business problems. This remote contract position offers the chance to work on high-impact projects in a fast-paced, innovative environment.

Key Responsibilities

• Design, build, and optimize ML models for production use
• Collaborate with cross-functional teams to define project scopes and deliverables
• Conduct experiments, evaluate model performance, and iterate on solutions
• Mentor junior data scientists and contribute to best practices
• Stay abreast of the latest advancements in ML and integrate them into our stack
• Analyze large datasets to extract actionable insights

Why Join NORY?

NORY is at the forefront of AI-driven innovation, empowering businesses with intelligent solutions. Our remote-first culture values autonomy, creativity, and results. This contract role is perfect for seasoned professionals looking to make a tangible difference while enjoying work-life balance.

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of experience in machine learning, with a focus on applied ML in production environments
• Proficiency in Python, TensorFlow, PyTorch, or similar frameworks
• Strong experience with data pipelines, feature engineering, and model deployment (e.g., Docker, Kubernetes, AWS/MLflow)
• Expertise in supervised/unsupervised learning, deep learning, NLP, or computer vision
• Excellent problem-solving skills and ability to communicate complex technical concepts
• Experience with big data tools like Spark, Hadoop, or SQL/NoSQL databases

• Competitive monthly salary with performance incentives
• Fully remote work flexibility
• Contract duration with potential for extension or full-time conversion
• Access to cutting-edge tools, datasets, and cloud credits
• Professional development opportunities, including conferences and training
• Collaborative global team environment
• Health and wellness stipends