Applied Scientist | AI & Machine Learning
📍 Location: United States
💼 Job Type: Full-Time
🏢 Work Mode: Remote / Hybrid / On-site, depending on the opportunity
About the Role
We are looking for an analytical and innovative Applied Scientist to develop data-driven solutions using machine learning, statistical modeling, and artificial intelligence.
The ideal candidate will enjoy solving complex problems, experimenting with new models, and turning research concepts into practical business and technology solutions.
Key Responsibilities
• Develop and evaluate machine learning and statistical models.
• Analyze large and complex datasets to identify meaningful patterns and insights.
• Design experiments and evaluate model performance.
• Apply advanced analytics and machine learning techniques to real-world problems.
• Collaborate with Data Scientists, ML Engineers, Data Engineers, and Product teams.
• Conduct research and experiment with emerging AI/ML methodologies.
• Develop prototypes and translate research ideas into scalable solutions.
• Communicate technical findings and recommendations to stakeholders.
• Continuously improve models based on performance and business requirements.
Required Skills
• Strong Python programming skills
• Knowledge of Machine Learning and Statistics
• Experience with SQL and data analysis
• Understanding of predictive modeling and experimentation
• Strong analytical and problem-solving abilities
• Knowledge of machine learning frameworks and libraries
Preferred Skills
• PyTorch / TensorFlow / Scikit-learn
• Deep Learning
• Generative AI / LLMs
• Natural Language Processing
• Computer Vision
• Optimization and statistical modeling
• AWS / Azure / Google Cloud
• Spark / Databricks
Educational Background
Master's degree in:
Computer Science | Data Science | Artificial Intelligence | Machine Learning | Statistics | Mathematics | Applied Mathematics | Computational Science
or a related field.