Senior Data Scientist

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

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.

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.

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.

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. Collaboration is central: work alongside data scientists, machine learning engineers, software engineers, and DevOps professionals to bring machine learning models into practical use. What you will do Partner with customers, engineers, and stakeholders to define requirements that address real challenges and maximize the value of the AIOps platform. Design and validate machine learning models and analytic algorithms for a range of data types, including image, video, text, geospatial, time series, and structured data. Automate and coordinate complex data and analytic workflows. Implement AI-driven software solutions in both cloud and edge computing environments. Conduct fieldwork, collaborating directly with customers and stakeholders. What you bring Strong technical skills and a drive to solve practical problems. Results-oriented mindset, with attention to detail and a focus on customers. Ability to spot recurring value, understand changing customer needs, and turn feedback into actionable insights for product teams. Active Secret clearance required.

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 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.

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.

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.

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.

About Future Secure AI Future Secure AI develops advanced artificial intelligence solutions for global enterprises. The company values courage, rigor, and curiosity, and encourages employees to bring bold ideas to the table. Leadership is approachable and experienced, supporting both personal and professional growth. Team members are valued as individuals and have the chance to work alongside experts in the field. Role Overview: Data Scientist - Applied Science The Platform team at Future Secure AI seeks a Data Scientist - Applied Science based in Austin, TX. This role focuses on advancing the company’s AI platform, with a special focus on large language model (LLM) technology. The position involves developing and implementing sophisticated AI models to address complex, real-world problems for enterprise clients. What You Will Do Develop and implement advanced AI models, with an emphasis on foundational LLMs Enhance the capabilities of the company’s core AI platform Collaborate closely with engineers, researchers, and product leaders Apply AI models to solve challenging problems across diverse sectors Influence the direction and impact of the AI platform within the partner ecosystem Contribute to the architecture and future of intelligent systems, beyond model building Location Austin, TX (United States)

Join ICON as a Senior Data Engineer in our Data Intelligence & Systems Architecture (DISA) team, where you will be instrumental in designing, developing, and expanding our enterprise data platform using Palantir Foundry. In this pivotal role, you will oversee the ingestion, modeling, and activation of data that drives reporting, strategic decision-making, and intelligent automation throughout the organization. Rather than merely constructing data pipelines, you will be architecting a Digital Twin for an industrial robotics and construction company. Your collaboration will span across departments including Supply Chain & Manufacturing, Logistics, Engineering Support Services, Software, Field Operations, and Technology R&D. Together, you will centralize high-value data sources, create scalable assets, and facilitate critical business applications, from real-time analytics to AI/ML-enhanced workflows and decision-making processes. This highly technical and cross-functional position is perfect for someone with robust data engineering expertise, a profound curiosity about the business, and a proactive mindset. This role is based at ICON’s headquarters in Austin, Texas, and reports directly to the Senior Director of Operations.

Join BetterUp as a Senior Behavioral Scientist and leverage your expertise to drive innovative research and insights that enhance our coaching platform. You will collaborate with cross-functional teams to analyze behavioral data, develop actionable strategies, and contribute to the overall mission of improving mental health and well-being.

As the leading online platform trusted by real estate professionals for over 25 years, Realtor.com® has been instrumental in connecting buyers, sellers, and renters with invaluable insights and expert guidance to discover their ideal home. Our comprehensive suite of tools not only influences the real estate landscape but also simplifies the home buying process for consumers, ensuring a user-friendly experience that empowers informed decision-making.Join us in our mission to help more people find their way home by eliminating barriers, fostering connections, and instilling confidence through expert support.We are seeking a Senior Data Analyst to become an integral part of our team at Realtor.com®. This pivotal role focuses on delivering strategic and analytical insights crucial for optimizing the performance of our Real Pro Select product line. As this premium product expands its market share from approximately 13% to a more significant fraction of all For-Sale leads, your contributions will be vital to its success. This entails providing in-depth analysis to enhance product optimization, performance measurement, and ROI validation.Key Responsibilities:Act as a Strategic Thought Partner for product, revenue, and engineering teams, delivering insights to align our Real Pro Select product with company strategy.Innovate ways to optimize lead flow dynamics between premium and core products, including setting lead expectations and allocation recommendations.Utilize creative thinking to enhance product packaging and refine current strategies based on performance metrics and market trends.Establish a clear analytical framework to assess lead quality for Real Pro Select, ensuring alignment with pricing model assumptions, and recommend actionable interventions when necessary.Implement robust systems to monitor and evaluate customer ROI expectations for Real Pro Select.Analyze product performance against internal benchmarks, examining lead quality, conversion rates, and churn to create structured performance reports.Conduct comprehensive analyses on key performance indicators (KPIs), sales funnel metrics, and customer retention data to surface actionable insights.

MongoDB, Inc. develops a modern data platform used by millions worldwide. The company has supported developers across many industries and was the first database provider to go public in over two decades. According to IDC, the global data management software market is expected to reach $138 billion by 2026. Role overview The Senior Data Analyst II, Product, will join the Data Analytics team in Austin. This position partners with Product Management, Engineering, Analytics, and other business groups to surface insights that influence product direction and business choices. What you will do Analyze data to spot trends, patterns, and opportunities that guide product strategy Work with stakeholders from various teams to understand their needs and deliver clear, actionable insights Share findings with colleagues across all levels of the organization Who succeeds in this role Strong analytical and technical abilities Comfort interacting with stakeholders at different levels Adaptability in a rapidly changing environment Location and work model This role is based in Austin, TX, and follows a hybrid work arrangement.

CaptivateIQ is revolutionizing the approach businesses take in planning, managing, and optimizing their sales performance. Initially focused on transforming incentive compensation management, we are now broadening our platform to address a wider array of sales planning challenges. Endorsed by leading industry analysts such as Forrester and G2, and supported by premier investors like Sequoia, ICONIQ, Accel, and Sapphire Ventures, we empower high-growth companies including Netflix, Figma, and Stripe with the insights and flexibility necessary to enhance revenue performance.Join our dynamic and diverse team, dedicated to tackling some of the most intricate and impactful challenges in the realm of sales performance management.Position OverviewAt the heart of every exceptional software company is the dedicated team that builds it. Our engineering team is multicultural, collaborative, fully distributed, and comprises humble learners. We take pride in developing top-tier products powered by cutting-edge technologies.As a vital member of our Customer Data Engineering (CDE) team, you will play a key role in empowering our customers to unlock the full capabilities of CaptivateIQ’s products by creating and managing their customized data integrations. Your contributions will significantly impact the success of our customers’ product implementations.