Data Scientist, Applied Science Austin, TX

Future Secure AI Inc.; Austin (TX); Hybrid; USD 110,000 - 210,000; Full time

Benefits offered by this job

High-performance culture

State-of-the-art technology

Growth trajectory

Flexible work environment

Diversity and creativity

Job summary

Future Secure AI in Austin, TX is seeking a Sr. Data Scientist to join our Platform Team. You will build and improve AI models powering proactive intelligence, working with engineers and scientists to deploy, monitor, and optimize for seamless human-AI collaboration.

You will apply machine learning, data mining, and statistical analysis to extract patterns, enhance workflows, and shape the future of work with innovative algorithms and rigorous experimentation.

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 Python and ML 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.

Responsibilities

• Model Development & Innovation: Evaluate machine learning models for understanding user intent, predicting workflow needs, and enhancing collaboration between people and AI.
• Data Mining & Feature Engineering: Extract, clean, and analyze large volumes of interaction data to identify patterns and develop impactful features.
• Model Deployment & Monitoring: Collaborate with engineering teams to deploy models into production and monitor performance.
• Research & Exploration: Stay updated on ML & data science advancements and apply them to our platform.
• Experimentation & A/B Testing: Design and run experiments to assess new models and features.
• Collaboration & Communication: Communicate findings to technical and non-technical audiences and work with engineers, UX researchers, and product managers.
• Contribution to Platform Architecture: Ensure model integration, scalability, and efficiency within the platform architecture.
• Proactive Intelligence Analysis: Leverage data to understand interactions and provide insights.

Skills

Machine Learning

Python

ML Frameworks

Data Mining

Analytical Thinking

Communication & Collaboration

Education

Bachelor's degree in CS/Stats/Math

Tools

AWS

Azure

GCP

Job description

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.

About the Role

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: E valuate 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.

Pay Range

$110,000 - $210,000 USD

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.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Future Secure AI’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.