Execute and advance the enterprise data science and AI strategy aligned to organizational goals.
Design, develop, and deploy advanced machine learning models including predictive modeling and LLMs.
Partner with engineering teams to operationalize MLOps practices and productionize models.
Pyramid Systems is an award-winning technology leader driving digital transformation across federal agencies. Voted a Top Workplace both regionally and nationally, the company values flexible work, employee voice, and development.
Lead workspace architecture, Unity Catalog governance, and cluster policy design for client tenant organizations.
Perform tenant discovery, requirements gathering, source profiling, and security classification for new data intake requests.
Develop end-to-end technical designs for tenant onboarding, including Data Sharing Agreements and SLA documentation.
M9 Solutions provides IT services and solutions to the Federal Government, mobilizing skilled people and technologies for improved performance and sustainable change. With 15+ years of proven delivery and growth, the company has been recognized as an Inc. 5000 Fastest-Growing Private Company multiple times and values diverse perspectives.
Design and maintain data pipelines and auto-labeling systems to support ML model training from multimodal data.
Write and optimize SQL queries for data extraction, analysis, and ingestion from various sources.
Develop and prototype learning-based models using a data-centric approach with techniques like active learning and fine-tuning.
Serve Robotics is reimagining urban delivery with sidewalk robots, aiming to reduce congestion and support local businesses. The team is an agile, diverse group of tech industry veterans focused on robotics, machine learning, and end-to-end user experience.
Define end-to-end architecture for AI/ML and Gen AI systems.
Serve as a strategic advisor to clients, leading solution design discussions.
Architect scalable solutions using cloud-native AI tools.
3Pillar Global provides a flexible work environment with a remote-first approach, offering opportunities for global teamwork and leveraging diverse resources. They focus on well-being, career growth, and diversity.
Lead the team and oversee operating model, from project inception to evaluation and maintenance.
Partner with product and engineering teams across the Buyers Edge Platform organization to determine and deploy data science and AI applications.
Use proprietary and external data sources to build forecasting, anomaly detection, and decision-support capabilities.
Buyers Edge Platform revolutionizes the foodservice industry through technology, purchasing power and partnerships. With a diverse portfolio of over a dozen brands, they are dedicated to empowering stakeholders across the entire foodservice ecosystem with efficiency and unprecedented visibility.
Design and deploy AI/ML and Generative AI models to drive operational efficiencies across VBC and RCM datasets.
Implement advanced architectures including LLMs, RAG, and agentic frameworks, and build end-to-end pipelines using Python, PySpark, or T-SQL.
Apply MLOps best practices and work with cloud platforms like GCP to ensure scalable and responsible AI deployments.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices and improve patient experiences. The company is led by top industry talent and focuses on reducing healthcare costs through cloud-based technology and scalable operations.
Design and implement medallion architecture using Delta Lake.
Build and optimize scalable data pipelines using Apache Spark.
Implement Unity Catalog for data lineage and access control.
V2 Strategic Advisors transforms media and advertising sales organizations with management and technology consulting. They are a lean, elite team of consultants, technical architects, and data experts who operate with the rigor of global management consulting and the energy and agility of a startup.
Partner with Product and Engineering to identify high-impact opportunities and define success metrics.
Lead rigorous experimentation across teams with hypothesis design, A/B testing, and clear readouts.
Build and iterate on ML/AI capabilities that ship to production, optimizing for value, latency, and cost.
Traackr is a global SaaS company providing a data-driven influencer marketing platform for marketers to optimize investments and scale programs. They are a remote-first company with offices in San Francisco, New York, Boston, Paris, and London, operating on a culture of mutual respect with core values including trust, diversity, value, ownership, and mutual success.
Analyze behavioral patterns to identify trends and opportunities to improve adoption, engagement, and retention.
Design experiments and measurement approaches to evaluate the impact of product and marketing changes.
Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends.
Customer.io's platform is used by over 8,000 companies to send billions of emails, push notifications, in-app messages, and SMS every day. They power automated communication that people actually want to receive, helping teams send smarter messages using real-time behavioral data.
Lead data architecture, pipeline development, and data integrations on a generative AI platform to automate enterprise workflows.
Design and implement multi-zone enterprise data lakes on AWS S3 with batch and streaming ingestion pipelines.
Develop and deploy ML models on AWS SageMaker for use cases like lead scoring and predictive maintenance.
Capnexus is a comprehensive services provider specializing in designing, building, and supporting retail software. The company follows a build-as-a-service model with a culture built on outcomes and delivery, employing outstanding professionals across various platforms and verticals.
Drive product and business impact by developing data scientists, setting expectations, providing mentorship, and removing blockers.
Guide and advise multiple data science projects so that they stay on track and have timely delivery with maximum impact.
Collaborate cross-functionally to validate direction through data and build trust in organizational tactics and strategy by consulting on experiments.
DuckDuckGo is an online protection company with a mission to raise the standard of trust online. It is a remote-first team of 300+ with a culture of trust, inclusivity, and empowered project management.
Design and evolve scalable data platforms, ensuring reliability and governance.
Define data architecture standards, models, and integration patterns for business needs.
Collaborate with stakeholders to translate requirements into cloud-based data solutions.
Nortal shapes digital transformation with complex solutions for global enterprises and the public sector. With over 25 years of experience and 160+ new hires yearly, the company fosters a culture of autonomy, open communication, and diversity.
Define and evolve the technical vision and roadmap for the Databricks platform and broader data ecosystem.
Drive the federated data operating model, balancing domain ownership with enterprise governance and standards.
Partner with analytics and AI teams to establish scalable patterns for model development, deployment, and governance.
A Place for Mom is the leading platform guiding families through every stage of the aging journey, connecting caregivers to vetted senior living communities and home care agencies. Since 2000, the company has helped millions of families and operates with a mission-driven culture that values empathy and innovation.
Execute end-to-end data science projects, from problem definition to deployment, building machine learning and NLP solutions for client decision-making.
Design scalable data pipelines and workflows, apply LLM APIs, and integrate cloud services into analytical deliverables.
Partner with senior data scientists, engineers, and client teams to create reusable tools that scale insights across projects.
Inizio Medical is part of Inizio, a global leader in healthcare communications. They help pharmaceutical and healthcare organizations turn complex science into meaningful impact through data, insights, and innovation.
Design, build, and maintain ETL pipelines moving data between application databases, cloud warehouses, third-party APIs, and object stores.
Partner with product managers, research scientists, and engineers to translate ML requirements into scalable data solutions.
Investigate and resolve data integrity issues including missing data, incorrect mappings, duplicates, and schema mismatches.
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company has a network of over 500,000 linguists and domain experts with seven ISO certifications.
Design and build scalable data pipelines and architectures using Databricks, Azure Data Factory, and ADLS to support analytics and AI use cases.
Integrate structured and unstructured data from multiple enterprise sources into robust cloud data platforms for financial domains like credit analysis and document intelligence.
Apply DevOps practices and collaborate with stakeholders to modernize legacy reporting systems and enable real-time data-powered decision-making.
This role is listed on behalf of a partner company that focuses on data-driven transformation initiatives, designing scalable data pipelines for advanced analytics and AI use cases. They offer a collaborative technical environment and invest in continuous learning and cutting-edge technologies.
Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience.
Drive behavioral analytics, customer segmentation, experimentation, and product measurement to inform roadmap investments.
Develop revenue forecasts, churn models, and customer health scores while defining standards for analytics and data science.
Customer.io powers automated communication for over 9,000 companies, helping teams send smarter messages using real-time behavioral data. They are a growing company that values empathy, transparency, and responsibility, offering remote-friendly roles.
Drive data science initiatives with ML models for predictive maintenance, anomaly detection, and root cause analysis in manufacturing.
Build scalable cloud data pipelines for high-volume IoT data using Spark, Kafka, Airflow, and Delta Lake.
Apply statistical methods (time series, regression, clustering) and design experiments to validate process changes and quantify business impact.
Nagarro is a Digital Product Engineering company that builds products, services, and experiences. With over 17,000 experts across 39 countries, they foster a dynamic, non-hierarchical work culture and are scaling rapidly.
Design and operate core AI platform components for training, deploying, and serving ML models at scale.
Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.
Developing machine learning pipelines and custom analytics for image, video, text, geospatial, time series, and structured data
Orchestrating and automating complex data engineering and analytic pipelines
Envisioning, specifying, designing, and implementing core product functionality and conducting mission-critical fieldwork
Striveworks helps organizations harness AI to solve national security and business challenges by serving as a command center between data, models, and outcomes. Founded by data scientists and engineers, the company values a high-trust work environment with individual responsibility for collective results.