We are seeking a highly motivated and talented Sr. Data Scientist to join our core Platform Team in Austin, Texas. As an Applied Scientist, you will be a key contributor to the development and improvement of the AI models that power FutureSecure.ai's proactive intelligence capabilities. You'll work alongside a team of experienced engineers and scientists, applying machine learning, data mining, and statistical analysis to build, deploy, and optimize our platform for seamless human-AI collaboration. This is a chance to be at the forefront of intelligent interactions and shape the future of work.

Responsibilities

• Model Development & Innovation: Evaluate machine learning models for understanding user intent, predicting workflow needs, and enhancing collaboration between people and AI. This includes exploring new algorithms, techniques, and data sources
• Data Mining & Feature Engineering: Extract, clean, and analyze large volumes of interaction data from various sources to identify patterns and develop impactful features for our AI models. This will focus on understanding how people work alongside AI systems
• Model Deployment & Monitoring: Collaborate with engineering teams to deploy machine learning models into production environments and continuously monitor their performance, identifying areas for improvement and retraining
• Research & Exploration: Stay abreast of the latest advancements in machine learning, data science, and human-computer interaction, and apply them to enhance our platform's capabilities
• Experimentation & A/B Testing: Design and conduct experiments to evaluate the effectiveness of new models and features, using rigorous A/B testing methodologies to optimize for user experience and collaboration
• Collaboration & Communication: Effectively communicate technical findings and insights to both technical and non-technical audiences. Collaborate closely with engineers, user experience researchers, and product managers
• Contribution to Platform Architecture: Work with the Platform Team to ensure model integration, scalability, and efficiency within the overall architecture of FutureSecure.ai
• Proactive Intelligence Analysis: Leverage data to understand how people interact with AI, anticipating needs and proactively offering support and insights

Minimum Qualifications

• 5+ years of experience as an Applied Scientist, Data Scientist, or Machine Learning Engineer
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Strong proficiency in machine learning algorithms (e.g., regression, classification, clustering, deep learning)
• Experience with programming languages such as Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with data mining, data cleaning, and feature engineering
• Strong analytical and problem-solving abilities
• Excellent communication and collaboration skills

Preferred Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
• Experience with cloud computing platforms (AWS, Azure, GCP)