Source Job

• Lead complex analytical, predictive, and applied AI workstreams with high independence.
• Define data science approaches and modeling strategies for high-value business problems.
• Mentor junior practitioners and improve delivery quality through best practices.

Valtech is the experience innovation company that helps brands unlock new value in an increasingly digital world. With a global, borderless team and a culture fostering creativity and autonomy, they partner with leading companies like L'Oréal and Audi.

• Lead advanced data science and mathematics projects for DoD clients, applying statistical and machine learning models to complex challenges.
• Design and optimize algorithms for data processing and simulation, ensuring scalability and reliability in operational environments.
• Collaborate with stakeholders, mentor junior staff, and drive innovation through research and development of emerging techniques.

Concurrent Technologies Corporation specializes in transforming cutting-edge technologies into real-world solutions, harnessing 3D printing, advanced joining techniques, and cutting-edge design tools. The Engineering Division is preparing to stand up a team for a new U.S. Navy initiative, focusing on connecting industry and academic solutions to national security challenges.

• Lead and develop a multi-team data science organization responsible for complex modeling components for pricing and underwriting.
• Partner with Product Design, Product Management, Underwriting, and other stakeholders to align data science work with business priorities.
• Oversee the development, validation, and implementation of pricing and underwriting model components while managing governance and risk.

Liberty Mutual is a global insurer offering a range of insurance products and services. They employ thousands and emphasize an inclusive culture, workplace flexibility, and professional development supported by Employee Resource Groups.

• Work collaboratively with HCD lead to analyze data, form insights and predictions for CMS price transparency initiatives.
• Build predictive models, AI tools, and data visualizations to support product design and automate processes.
• Perform data mining, feature selection, and anomaly detection using machine learning techniques in an agile environment.

Bellese is a mission-driven digital services company pioneering innovative technology solutions in civic healthcare. It fosters a collaborative, remote-first culture and invests in employee well-being with comprehensive benefits.

• Architect end-to-end programming pipelines for large-scale healthcare data extraction and transformation using SQL.
• Lead implementation of analytical plans featuring complex statistical modeling in R for HEOR/RWE studies.
• Maintain high-quality standards through rigorous documentation, best coding practices, and version control with Git.

Komodo Health reduces the global burden of disease by providing a comprehensive view of the U.S. healthcare system through their Healthcare Map. The company fosters a culture of ambition, support, and diversity, with values like 'be awesome' and 'deliver wow'.

• Lead development and deployment of machine learning models, statistical analyses, and data experiments for predictive maintenance and logistics optimization.
• Oversee data collection, ETL pipelines, and exploratory data analysis to drive product development.
• Collaborate with multi-functional teams in an Agile environment to integrate models into applications and monitor performance.

Redhorse Corporation delivers data insights and technology solutions to customers with missions critical to U.S. national interests. The company is a solution-driven firm seeking thoughtful, skilled professionals who thrive as trusted partners in a collaborative culture.

• Design and own the quality of clinical datasets for training and evaluating health AI models.
• Collaborate with cross-functional teams to translate customer goals into dataset specifications and evaluation plans.
• Ensure clinical realism, statistical defensibility, and compliance in health AI evaluation workflows.

Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence. With over 36 years of legacy, they deliver high-quality data and outstanding outcomes for AI builders and adopters.

• Develop advanced statistical and machine learning models to analyze and predict consumer sensory preferences across products, markets, and demographics.
• Build Bayesian and hierarchical/mixed-effects models for latent harmonization of sensory datasets and translate panel data into probabilistic predictions.
• Partner with research and client success teams to design effective consumer sensory studies and validate models for robustness and business relevance.

NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior. In 2023, NIQ combined with GfK, bringing together two industry leaders with unparalleled global reach and operations in over 100 markets.

• Own the full lifecycle of statistical and machine learning model development, from data exploration to deployment.
• Improve efficiency in credit risk, fraud, marketing, and collections by deploying modeling solutions.
• Research and develop new methods and tools to improve the business and present results to leadership.

Attain Finance is a consumer credit lender with over 50 years of expertise providing credit solutions across the U.S. and Canada. The company is a leading lender with a dynamic, collaborative culture and a portfolio of distinguished brands.

• Design and ship AI sub-agents that act across the customer lifecycle, combining predictive models and LLM reasoning.
• Build predictive and prescriptive models for churn risk, growth, adoption, and account health scoring.
• Partner with Product, Engineering, and Applied AI teams from problem framing through production deployment.

Smartsheet empowers teams to manage work seamlessly and scale solutions smarter, now uniting human teams with AI agents. With over 20 years of experience, they foster a culture of innovation and collaboration.

• Define and execute AI strategy, partnering with executive leadership to build AssetWatch's AI-native vision and roadmap.
• Lead the AI and Data Science organization, building, mentoring, and developing high-performing teams across Machine Learning Engineering and AI Engineering.
• Partner across the business to identify AI opportunities, implement governance, and measure impact on customer outcomes and revenue.

AssetWatch powers manufacturing uptime by delivering condition monitoring solutions for global manufacturers. They are a devoted team of world-renowned engineers and distinguished business leaders united by a common goal to build the future of predictive maintenance.

• Lead a team applying advanced data science and AI to solve operational challenges in matching, scheduling, and capacity allocation.
• Develop production models and decision-support systems to improve caregiver-client matching and service reliability.
• Partner with Product, Engineering, and Operations to turn complex problems into measurable outcomes.

Honor Technology provides technology, tools, and services that empower older adults to live independently, including its consumer care brand Home Instead, Inc. With a global franchise network and over 100,000 Care Pros, Honor delivers over 50 million hours of personalized care annually and fosters a culture of innovation and compassion.

• Enhance and maintain risk models supporting review selection and health score calculations.
• Aggregate data, develop dashboards, and validate automated risk rankings for agency partners.
• Present analytic results to management and non-technical stakeholders.

Makpar is a professional and technical solutions provider for the Federal government, specializing in cloud engineering, data management, cybersecurity, and emerging technologies. The company has a connected and engaged workforce dedicated to delivering success for clients and the American people.

• Develop and refine predictive models and AI-driven insights to enhance intelligence and operational planning.
• Implement Agile methodologies, including sprint-based development and quarterly cost reviews.
• Integrate customer feedback and document model performance and operational impact.

SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. They deliver tailored solutions to enable national security missions worldwide, with a focus on government clients.

• Partner directly with enterprise customers to understand business challenges and define AI solution requirements.
• Design, build, and deploy scalable machine learning, Generative AI, and agentic AI solutions for supply chain challenges.
• Collaborate cross-functionally with Product, Engineering, and Customer Success teams to deliver customer outcomes.

We pioneer intelligent, autonomous systems that redefine supply chain risk management, using agentic AI to help global enterprises predict disruptions. We are a fully remote, mission-led team focused on making critical goods get where they need to be.

• Apply advanced statistical expertise to support impactful clinical research and data-driven decision-making.
• Lead statistical analysis activities for clinical trial programs, ensuring data accuracy, scientific rigor, and clear reporting.
• Collaborate with multidisciplinary teams to interpret results, support decision-making, and deliver high-quality statistical outputs.

Jobgether is an AI-powered job matching platform connecting candidates with hiring companies. It uses automated screening to shortlist top-fitting candidates for each role.

• Develop map test designs, metrics, and machine learning models to measure Map Quality using predictive analytics and statistical methods.
• Design sampling plans for map quality evaluation and training data creation for ML models, and implement statistical quality metrics.
• Collaborate with internal and external stakeholders, acting as a subject matter expert on statistical and experimental design methods.

HERE Technologies is a location data and technology platform company that empowers customers to achieve better outcomes through innovative solutions. The company has a diverse international team of talented people from 60+ countries, working from tech hubs in Europe, the US, and Asia.

• Partner with business stakeholders across Operations, Customer Success, Product, Growth, and Learning to drive data-informed decisions.
• Own data modeling and engineering, ensuring data quality and trust in dashboards and pipelines.
• Advance AI-native data practices and collaborate with engineering on analytics architecture.

Pathstream transforms frontline employees into strategic contributors through enterprise partnerships. We are a mission-driven team of ~60 employees with a tight-knit, hardworking culture focused on scaling our solution across the United States.

• Partner with business leaders to identify opportunities and develop analytical strategies.
• Create predictive models and scalable machine learning solutions to optimize customer acquisition and retention.
• Translate complex data findings into clear business recommendations and drive experimentation.

This company leverages advanced data science and machine learning to solve complex business challenges. It fosters a collaborative and inclusive culture focused on innovation, growth, and teamwork.

• Lead and mentor a team of BI analysts and developers, driving data-driven decision-making across the organization.
• Develop executive dashboards and self-service analytics using modern BI tools, partnering with cross-functional teams.
• Implement AI-assisted analytics to accelerate dashboard development and automate insights.

Horizon3.ai is a cybersecurity company that provides autonomous pentesting and assessment operations via its NodeZero platform. The company is a fast-growing remote team of former special operations cyber operators and engineers, fostering a culture of respect, collaboration, and ownership.