Data Scientist, Applied Science
Future Secure AI
$110,000 - $210,000 / year
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Description
About the Company
At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
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)
Why Join Us?
- A high-performance culture
- State-of-the-art technology
- Experience world-class leadership
- Scale of impact and purpose
- A competitive salary and a huge growth trajectory
- Work with the best in the industry
- Flexible work environment
- Diversity and creativity
Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.
About this role
Future Secure AI is hiring a senior-level data scientist to join its core Platform Team in Austin, working on AI models that enable human-AI collaboration. You'll own the full lifecycle of machine learning development—from evaluating and building models that understand user intent and predict workflow needs, through feature engineering on large interaction datasets, to deploying models in production and monitoring their real-world performance. The role also involves staying current with advances in machine learning and human-computer interaction, designing rigorous experiments to validate new approaches, and translating technical work for both technical and non-technical stakeholders.
This position requires at least five years as an applied scientist, data scientist, or ML engineer, with strong fundamentals in machine learning algorithms, Python, and frameworks like TensorFlow or PyTorch. You should be comfortable with the full data pipeline—mining, cleaning, and feature engineering—and have solid analytical problem-solving skills. A master's or PhD is preferred, as is experience with cloud platforms.
The role is in-office in Austin and offers a salary range of $110,000 to $210,000. Future Secure AI emphasizes a high-performance culture with accessible leadership, investment in your growth, and the chance to work on problems that matter at scale. This is a full-time position best suited for someone who wants hands-on technical depth while collaborating closely with engineers, researchers, and product teams.
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Pay for this role
$110,000 to $210,000 per year
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