Data Scientist, Applied Science

Future Secure AI; Austin (TX); Presencial; USD 110 000 - 210 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

High-performance culture

State-of-the-art technology

World-class leadership

Growth opportunities

Flexible work environment

Resumo da oferta

Future Secure AI in Austin, Texas is seeking a highly motivated Sr. Data Scientist to join our Platform Team.

You will contribute to the development and deployment of AI models powering proactive intelligence capabilities, working with engineers and scientists to enable human-AI collaboration. The role focuses on applying machine learning, data mining, and statistics to improve our platform, with opportunities to innovate, experiment with A/B testing, and scale models within a modern cloud

Qualificações

• 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 ML algorithms (regression, classification, clustering, deep learning).
• Experience with Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with data mining, data cleaning, and feature engineering.
• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.

Responsabilidades

• Model development and innovation: evaluate ML models and explore new algorithms and data sources.
• Data mining and feature engineering: analyze large interaction datasets to create impactful features.
• Model deployment and monitoring: work with engineering to deploy models and monitor performance.
• Research and exploration: stay current with ML advances and apply to the platform.
• Experimentation and A/B testing: design tests to evaluate new models and features.
• Collaboration and communication: convey findings to technical and non-technical audiences.

Conhecimentos

Python programming

Machine learning

Data analysis

Communication

Collaboration

Formação académica

Bachelor's degree in CS/Stats/Math

Ferramentas

TensorFlow

PyTorch

scikit-learn

Descrição da oferta de emprego

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 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.

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

Pay Range: $110,000 USD - $210,000 USD

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