Senior Data Scientist with Active Secret Clearance

Striveworks is looking for a Senior Data Scientist with an active Secret clearance. This role can be based in Austin, Texas or performed remotely. This position shapes projects and products from the ground up. The Senior Data Scientist represents Striveworks in engagements, develops solutions using the Chariot AIOps platform, and helps drive its evolution. C…

Striveworks brings together data scientists and engineers to help organizations solve national security and business challenges with artificial intelligence. The team focuses on making AI systems dependable, adaptable, and scalable, supporting data-driven decisions as needs and technology evolve. Their work aims to improve model performance and reduce costs in complex environments. Role overview This hybrid Data Scientist position is based in northwest Austin, Texas, and requires an active Secret Clearance. The role shapes projects and products from the ground up, representing Striveworks as a technology leader on efforts using Chariot, the company’s proprietary AIOps platform. Collaboration with data scientists, machine learning engineers, software engineers, and DevOps engineers is central, with a focus on turning machine learning models into operational solutions. Travel up to 30% may be needed. What you will do Develop and validate machine learning models and custom analytic algorithms for various data types, including image, video, text, geospatial, time series, and structured data. Build and implement AI-driven software solutions for both cloud and edge environments. Conduct fieldwork to support customers and stakeholders as required. What matters for success Strong technical abilities with a focus on delivering results. Experience applying software and data science to real-world challenges. Ability to keep customer needs central and communicate well with both technical and non-technical audiences. Comfort working in teams to identify repeatable value and translate customer feedback into insights for product teams. Willingness to travel up to 30% and work in a hybrid setting in Austin, TX. Active Secret Clearance is required for this role.

Join our dynamic team at Striveworks as a Senior Data Scientist, where you will play a pivotal role in shaping data-driven solutions that drive business insights and innovation. In this position, you will leverage your expertise in statistical analysis, machine learning, and data modeling to extract meaningful insights from complex data sets.Your responsibilities will include developing predictive models, collaborating with cross-functional teams, and presenting findings to stakeholders to inform strategic decisions. If you have a passion for harnessing data to solve real-world problems, we want to hear from you!

About Future Secure AI Future Secure AI develops artificial intelligence solutions that address complex problems for global enterprises. The company values bold thinking, rigor, and curiosity, guided by its BRAVER values. Leadership encourages open communication and supports professional growth, recognizing that company success is tied to individual development. Role Overview The Senior Data Scientist - Applied Science joins the advanced analytics and AI division in Austin, TX. This role focuses on designing, building, and deploying machine learning systems, with a strong emphasis on large language models (LLMs) to tackle real-world challenges for enterprise clients. What You Will Do Design and implement advanced machine learning solutions, especially those involving LLMs Deploy AI systems that address significant business problems for clients across different sectors Influence the company’s AI strategy and contribute to a responsible, scalable approach Mentor junior team members and foster a culture of technical excellence and creativity What Sets This Role Apart Direct impact on AI systems used across industries Opportunities to help shape strategic direction and best practices Environment that values lifelong learning and open collaboration

Striveworks builds AI systems that support mission-critical operations for national security and business clients. The company’s products are designed to perform reliably in unpredictable environments, enabling organizations to make data-driven decisions while controlling costs and improving system dependability. Role overview The Senior DevOps Engineer leads deployment, maintenance, and optimization of Striveworks’ software in client environments. This work covers both on-premises and cloud infrastructure, with a focus on Infrastructure-as-Code (IaC) and automation. The position involves managing the technical side of deployment projects, ensuring Striveworks’ AIOps solutions are integrated, configured, and customized to fit each customer’s needs. This role is open to candidates based in Austin, Texas or working remotely. An active Secret clearance is required. What you will do Automate Infrastructure-as-Code processes to manage virtual machines, deploy containers, and provision services and infrastructure. Deploy custom Kubernetes clusters across AWS, Azure, GCP, on-premises, and hybrid cloud environments. Collaborate with platform developers, fellow DevOps engineers, and customer-facing teams to define requirements and design solutions that address specific customer needs. Manage software deployments to commercial, unclassified, Controlled Unclassified Information (CUI), and classified Department of Defense (DoD) networks. Respond to incidents and perform initial triage for critical system faults. Who thrives in this role Engineers with strong technical skills, a collaborative mindset, and a drive to tackle complex deployments will succeed here. Experience with Infrastructure-as-Code and a focus on improving and optimizing technical systems are essential.

Teamwork makes the stream work. Roku is revolutionizing the way the world watches televisionAs the leading TV streaming platform across the U.S., Canada, and Mexico, Roku is on a mission to connect every television globally. We pioneered streaming technology, enabling consumers to access their favorite content, empowering publishers to engage large audiences, and offering advertisers innovative methods to reach viewers.From your very first day at Roku, you will play a crucial role in our fast-paced, dynamic environment where every contribution is valued. Join us in delighting millions of streamers worldwide while gaining invaluable experience across multiple domains. About the TeamAs a Senior Data Scientist at Roku, you will harness the power of Big Data to inform our most critical business strategies. Your role will blend technical expertise with business insight, as you collaborate with leaders to deliver actionable recommendations. Senior Data Scientists at Roku are strategic partners to executive leadership, making effective communication and presentation skills paramount. Unlike traditional roles, you will proactively identify key areas of focus, conduct in-depth analyses, and offer well-grounded insights and recommendations. This position is ideal for individuals eager to grow their business acumen alongside their technical and analytical prowess.About the RoleWe are seeking a Senior Data Scientist to join our Core Analytics team, supporting our Operations department. You will exhibit strong technical capabilities in data retrieval, manipulation, analysis, and visualization, coupled with exceptional communication skills and a proven track record in collaboration. Your innate curiosity and ability to balance a global perspective with local execution will be key to your success in this role. We are looking for a proactive problem solver who can drive initiatives with internal stakeholders.

Striveworks builds dependable AI systems for national security and business challenges. The team connects data, models, and operational needs, supporting organizations as they move from initial deployment to ongoing optimization. Their proprietary AIOps platform, Chariot, is central to delivering adaptable solutions that perform reliably in changing environments. Role overview The Machine Learning Engineer will work in Austin, Texas, contributing to both customer projects and Striveworks’ core product development. This position requires hands-on engineering with Chariot and offers the chance to influence future platform features. Collaboration is key: expect to work closely with data scientists, software engineers, and DevOps specialists to turn machine learning models into operational solutions. An active Secret clearance is required, and the role is based onsite or in a hybrid setup at the northwest Austin office. Travel may reach up to 30%. What you will do Create machine learning models and custom analytics across diverse data types, including image, video, text, geospatial, time series, and structured data. Coordinate and automate complex data engineering and analytics pipelines. Help design and implement important product features. Support customers and stakeholders through mission-critical fieldwork. Who thrives here Engineers who bring technical skill, curiosity, and a focus on results tend to succeed at Striveworks. The role suits those who blend software engineering with data science, communicate clearly, and build repeatable value into product features while keeping customer needs in focus. Location and travel Hybrid or onsite at the Striveworks office in northwest Austin, TX Travel up to 30% may be required

About Future Secure AI Future Secure AI builds solutions that push the boundaries of artificial intelligence. The team focuses on tackling real-world problems for global enterprises across multiple industries. Technology sits at the core, supported by a culture that encourages analytical thinking, curiosity, and bold ideas. The company’s BRAVER values shape daily work and decision-making. Leadership includes experienced entrepreneurs who keep communication open and accessible. Professional growth is a priority, with development opportunities tied closely to company success. Future Secure AI welcomes those who want to collaborate with skilled colleagues, explore new ideas, and contribute to projects that matter.

About Striveworks Striveworks helps organizations use artificial intelligence to solve real-world problems, especially in national security. Founded by data scientists and engineers, the company focuses on making AI deployment and ongoing optimization simpler and more reliable. Striveworks partners with clients to build systems that adapt, scale, and perform well in unpredictable situations, supporting critical operations and informed decision-making. Role Overview: Senior Machine Learning Engineer The Senior Machine Learning Engineer will take on a key position, contributing to both customer projects and Striveworks’ core product suite. This role involves working with the Chariot AIOps platform to create solutions that bridge data, models, and operational needs. Collaboration is central: expect to work closely with data scientists, software engineers, and DevOps professionals to turn machine learning models into real operational tools. This position is open to candidates in Austin, Texas or those seeking a remote arrangement. A hybrid option is available for those near the Austin office. Main Responsibilities Work with customers, engineers, and stakeholders to define requirements that align with client needs and leverage the AI operations platform. Develop machine learning models and analytics for various types of data, including images, video, text, geospatial, time series, and structured datasets. Automate and manage complex data engineering and analytics workflows. Contribute to the design and implementation of core product features. Participate in mission-critical fieldwork as opportunities arise. Who Thrives Here This role suits engineers with a strong technical background who enjoy building customer-focused solutions and collaborating across disciplines. Effective communication, a focus on delivering repeatable value, and a drive to solve practical challenges are essential. Clearance Requirement An active Secret clearance is required for this position.

Join The Zebra, a celebrated Best Place to Work in Austin for four consecutive years, as we transform the way consumers connect with insurance. We are dedicated to fostering diverse teams that create an inclusive environment for everyone. Our motto, "All Stripes Welcome," reflects our commitment to valuing both traditional and unconventional backgrounds. Our team, known as Zeebs, is passionate about learning, growth, and collaboration to solve exciting challenges.As a Senior Data Scientist, you will play a pivotal role in collaborating with product managers, engineers, and analysts to identify and execute data science initiatives. You will engage in the entire data science lifecycle—ranging from data wrangling to model building, deployment, and impact analysis. At The Zebra, our data scientists are empowered to write the production code for models, with support from our software engineers, ensuring a seamless workflow.We are looking for someone who is not only technically proficient but also practical and results-driven. The ideal candidate will prioritize straightforward solutions that can be refined over time. A strong understanding of product and business dynamics is crucial for framing and addressing analytical questions effectively. Successful data scientists at The Zebra cultivate trust and clarity with stakeholders, minimizing ambiguity and driving impactful solutions for the organization.

About UsArrive Logistics stands as a premier transportation and technology firm in North America, poised for significant growth each year. Our achievements reflect the dedication of our exceptional team and the innovative solutions we are developing together. We prioritize a rewarding work environment for our employees and have cultivated an award-winning culture that fosters personal and career advancement within a fun, relaxed, and collaborative atmosphere. Ideal CandidateWe are seeking a Senior Data Scientist who will closely collaborate with Product and Engineering teams to convert business requirements into impactful data-driven modeling solutions. This role is designed for a seasoned professional who will provide technical leadership to their team and manage the development of machine learning systems.

Location: Austin, TXEmployment Type: Full-time, In-OfficeCompensation: Total compensation between $250,000 - $360,000. Salary of $180,000-$250,000 annually plus equity.Department: EngineeringPosition Overview:As a Senior Applied Data Scientist at Steadily, you will be pivotal in driving our Engineering team's efforts. You will analyze large datasets to identify trends and insights, leveraging refined data and internal machine learning models to enhance our product outcomes and operational efficiency. Your responsibilities will include building, evaluating, and deploying machine learning models into production, ensuring their quality and accuracy over time. We work with diverse data types, including public, proprietary, and extensive image datasets. This role offers a high level of autonomy and positions you as a trusted technical leader addressing critical business challenges. Since Steadily is in the early stages of exploring the potential of AI and ML, this position is particularly suited for scientists who thrive in ambiguous settings and are eager to determine the most impactful areas of focus.This is a full-time, in-office position based in Austin, TX.Key Responsibilities:Develop and enhance data sets and models focusing on scalability, quality, and maintainability, employing the right techniques to address business needs. Areas of focus may include estimating property risks and accurately assessing property costs using aerial image analysis.Lead the exploration and implementation of new scientific applications within our product ecosystem to improve risk prediction on both the individual and aggregate levels.Produce clean, maintainable R/Python code, upholding high standards for quality and best practices.Collaborate closely with Engineering, Product, Operations, and Business teams to design robust solutions across our systems.Deliver comprehensive metrics and visibility into model quality and performance, ensuring a rigorous scientific evaluation.

Role Overview disco is hiring a Senior Machine Learning Scientist in Austin, TX. This role focuses on applying machine learning and data analysis skills to strengthen our products and uncover insights that matter. The position involves close collaboration with colleagues from different teams to develop algorithms and models that improve our offerings. What You Will Do Design and build machine learning models to support product enhancements Analyze data to identify trends and opportunities for improvement Work with cross-functional teams to integrate models into existing products Contribute expertise to shape the direction of new solutions

Bumble Inc. is seeking a dynamic Associate Data Scientist to join our Core Data Science team, focusing on Marketing and User Acquisition (UA) analytics. In this role, you'll delve into the factors that drive user acquisition performance across various channels, enhance our evaluation of spending and efficiency, and transform complex data into actionable insights that foster growth. This position is perfect for an emerging data science professional who is passionate about solving commercial challenges and collaborating with cross-functional teams in marketing, product, and finance. You will leverage your expertise in Python and SQL to analyze data, create repeatable reporting and analysis workflows, and contribute to the development of measurement frameworks that inform strategic decision-making.

As a Forward-Deployed Data Scientist II at Braze, you will play a pivotal role in leveraging data to drive actionable insights and solutions for our clients. You will collaborate with cross-functional teams to define data strategies, implement advanced analytics, and support client-facing projects. Your expertise will help shape product development and influence business decisions, ensuring our clients achieve their goals effectively.

Role Overview Striveworks is hiring a Staff Machine Learning Engineer to help shape solutions in machine learning and artificial intelligence. This role works on projects that require an active Secret Clearance, supporting sensitive initiatives where security and compliance matter. What You Will Do Work with a skilled team to design and build machine learning systems Contribute to technology that supports business objectives Apply expertise to projects requiring careful attention to security standards Location This position is based in Austin, Texas, with remote options available. Requirements Active Secret Clearance Experience in machine learning and artificial intelligence

As the leading online platform trusted by real estate professionals for over 25 years, Realtor.com® is dedicated to connecting buyers, sellers, and renters with reliable insights and expert advice to find their ideal homes. Our comprehensive suite of tools significantly influences the real estate sector and supports consumers in navigating their most significant purchase, ensuring a user-friendly experience that simplifies decision-making.Become a part of our mission to empower individuals in their home-finding journey by removing barriers, fostering connections, and instilling confidence through expert guidance.Data Scientist Intern - Master's LevelResponsibilitiesWork collaboratively with stakeholders across the Data Science and Analytics teams at Realtor.com to pinpoint business challenges and opportunities where data science can provide value.Apply advanced statistical methods and mathematical techniques to uncover insights and transform them into strategic recommendations for Finance and Revenue teams.Lead the design of experiments, execute A/B testing, and conduct statistical analyses to generate actionable insights.Assist in the development and upkeep of data pipelines, data integration, and data visualization tools to enhance the data science workflow.Collaborate closely with Machine Learning Engineering teams to collectively improve business processes.Who You Are...Enthusiastic about learning new and emerging technologies.A self-starter ready to tackle challenging situations.Incredibly curious, analytical, and passionate about solving complex problems.Agile, adaptable, and skilled at achieving results through cross-functional teamwork.Possess strong verbal, written, and presentation communication skills.Knowledgeable in data life cycle and lineage.Adept at translating business needs into compelling insights derived from data.

Department: Data Science Reports to: Head of Data Science Location: This position is primarily remote; however, preference will be given to candidates located in or willing to relocate to Austin, TX. Application period is open until early April, with an expected start date of April 20, 2026. About Funga Funga is a public benefit corporation dedicated to leveraging forest fungal networks to combat the climate crisis. We integrate cutting-edge DNA sequencing and machine learning with pioneering research on the forest microbiome to strategically place diverse communities of mycorrhizal fungi. This initiative promotes accelerated wood production, enhances carbon sequestration, and fosters resilient forests. Our mission serves land partners implementing regenerative forestry practices and corporate carbon buyers seeking impactful carbon removal solutions with strong social and ecological benefits. We are a committed team aiming to draw down at least three gigatons of carbon dioxide by 2050. If you're passionate about innovation, eager to learn continuously, and excited to apply your skills within the private sector, we encourage you to consider joining our mission. Even if you don't meet every requirement, please share why you are excited about Funga! About the Role We are on the lookout for a Data Scientist/Statistician to enhance our capacity for analyzing forest productivity and experimental data. In this role, you will collaborate closely with our team to refine our data processing and interpretation capabilities, significantly contributing to Funga’s vision. We are seeking a pragmatic innovator who excels at transforming complex raw data into actionable insights. This position requires a blend of scientific rigor and a sense of urgency to amplify our impact. Key Responsibilities: Conduct comprehensive statistical analyses on experimental and observational forest data. Assess and improve existing experimental designs through power analyses and the application of statistical models for multi-year trials. Rapidly prototype and implement models that link forest productivity to soil microbiomes and environmental variables, considering spatial and temporal factors. Refine our carbon accounting framework to integrate new field-collected, genomic, and remotely sensed data. Create and validate methodologies for evaluating the utility of satellite and drone data in relation to on-the-ground measurements. Collaborate with internal teams across Growth, Applied Science, and others to ensure insights are effectively integrated into decision-making.

Join our dynamic team at Functional Inspired Training as a Partnership Activation Coordinator, where you'll be instrumental in fostering brand collaborations. This role is pivotal in executing and managing the FIT House of Brands partnerships, ensuring that various initiatives are organized and aligned across both internal teams and external partners.The perfect candidate will possess exceptional project management skills, outstanding communication abilities, and a proactive approach to problem-solving, along with a background in partnership marketing, event activation, or brand collaborations.This is an exciting opportunity to contribute to the growth and activation of high-profile brand partnerships. You will collaborate with a vibrant team, gain exposure to premier partnerships, and play a vital role in the success of groundbreaking marketing campaigns.

About Our Team We are at the forefront of transforming autonomous driving technology, focused on creating robust metrics and evaluation frameworks that guarantee the safety, performance, and readiness of self-driving systems. Collaborating closely with engineering teams, we analyze both real-world and simulated driving data, empowering data-driven decisions that expedite the commercialization of autonomous vehicles. Our work addresses essential questions such as: 'How effectively does the vehicle navigate complex intersections? Does it ensure a safe experience for passengers during maneuvers? How do we statistically validate readiness for urban deployment?' About This Role We are looking for a talented Data Scientist to join our dynamic team and take a leading role in defining and assessing the performance metrics of autonomous vehicle systems. You will be responsible for designing and implementing quantitative metrics that evaluate driving behavior, safety compliance, and passenger comfort. This position involves analyzing extensive datasets, applying advanced statistical methods, and collaborating with cross-functional teams to ensure our self-driving systems adhere to the highest safety and reliability standards. This is an exciting opportunity to significantly influence the future of autonomous driving technology. Key Responsibilities Analyze data from real-world and simulated autonomous vehicle experiments to assess system performance. Develop and enhance quantitative metrics (both rule-based and ML-driven) to evaluate driving behavior, safety, and passenger comfort. Utilize statistical inference and hypothesis testing to validate the reliability and sensitivity of metrics. Work alongside autonomy software, simulation, and safety teams to prioritize enhancements based on data-driven insights. Create scalable data pipelines to automate the computation and reporting of metrics. Review driving logs and engage in test rides to ground analyses in real-world performance.