Resonate Networks, Inc.
Head of Data Science & Machine Learning Engineering
Resonate Networks, Inc., Washington, District of Columbia, us, 20022
Overview
Washington, DC Metropolitan Area Resonate is a leading provider of AI-powered consumer data, intelligence, and technology, enabling marketers to connect with target audiences in more meaningful and effective ways through our Ignite SaaS platform and DaaS offerings. We are a dynamic and fast-growing company seeking passionate and innovative individuals to join our team. We are seeking a visionary and hands-on leader to become our Head of Data Science and Machine Learning Engineering. This pivotal role owns the entire AI/ML lifecycle, from research and algorithmic innovation to robust, scalable production deployment. You will lead our Data Science (DS) and Machine Learning Engineering (MLE) teams, fostering a culture of excellence and accountability, and you will set the strategic AI vision and ensure its execution, directly impacting our product, customers, and competitive edge. The ideal candidate will have proven experience leading both data science (research-focused) and machine learning engineering (production-focused) teams, and a track record of deploying and maintaining models in large-scale, real-time production environments. Experience in consumer data, ad-tech, or mar-tech industries is a strong plus. You will be at the forefront of extracting insights from a wide range of online and offline data signals, driving innovation by developing a machine learning interface that leverages the power of foundation models to solve tasks in predictive analytics – segmentation, forecasting, and classification. This is an opportunity to build the next generation of enterprise-level ML systems. Your expertise will contribute to solving complex, industry-specific problems across health, finance, consumer goods, politics, and advocacy. Domain experience in any of these areas is a plus to help craft targeted ML solutions. At Resonate, you will contribute to advancing our product suite from data development to SaaS tools and be encouraged to challenge the status quo and bring forward new ideas. If you are passionate about data, detail-oriented, and committed to innovation, we invite you to join our team and help shape our future. Responsibilities
Lead, manage, and mentor the integrated Data Science and Machine Learning Engineering teams, ensuring accountability for methodology and delivery. Foster a highly collaborative environment where data scientists and MLEs work together to accelerate idea-to-production value. Define the operational model for the combined team to optimize velocity, quality, and innovation, even with a lean team. End-to-End Strategic Ownership
Drive the strategic vision for data science and AI, aligning with the product roadmap and business goals. Own the end-to-end ML lifecycle, from ideation and development to deployment, monitoring, and production maintenance. Lead and communicate an R&D agenda to advance product lines with focus on methodologies, modeling techniques, and agentic systems. Technical and Operational Delivery
Shape the architectural vision for MLOps infrastructure and champion scalable, automated model deployment. Provide hands-on leadership in developing and deploying advanced ML models, including deep learning, embeddings, neural networks, and GNNs. Leverage AWS Bedrock, SageMaker, TensorFlow, and PyTorch to build and scale AI/ML capabilities. Stay current on ML/AI/GenAI trends and advocate adoption of new technologies and methodologies. Communication and Evangelism
Represent AI and data science to the executive team, the board, and the organization in partnership with the CTO. Participate in industry events, conferences, and customer meetings as the face of our data science and AI practice. Distill complex technical topics for both technical and non-technical audiences. Qualifications & Experience
Leadership and Communication Exceptional communication and presentation skills with the ability to articulate a clear and compelling vision. A \
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Washington, DC Metropolitan Area Resonate is a leading provider of AI-powered consumer data, intelligence, and technology, enabling marketers to connect with target audiences in more meaningful and effective ways through our Ignite SaaS platform and DaaS offerings. We are a dynamic and fast-growing company seeking passionate and innovative individuals to join our team. We are seeking a visionary and hands-on leader to become our Head of Data Science and Machine Learning Engineering. This pivotal role owns the entire AI/ML lifecycle, from research and algorithmic innovation to robust, scalable production deployment. You will lead our Data Science (DS) and Machine Learning Engineering (MLE) teams, fostering a culture of excellence and accountability, and you will set the strategic AI vision and ensure its execution, directly impacting our product, customers, and competitive edge. The ideal candidate will have proven experience leading both data science (research-focused) and machine learning engineering (production-focused) teams, and a track record of deploying and maintaining models in large-scale, real-time production environments. Experience in consumer data, ad-tech, or mar-tech industries is a strong plus. You will be at the forefront of extracting insights from a wide range of online and offline data signals, driving innovation by developing a machine learning interface that leverages the power of foundation models to solve tasks in predictive analytics – segmentation, forecasting, and classification. This is an opportunity to build the next generation of enterprise-level ML systems. Your expertise will contribute to solving complex, industry-specific problems across health, finance, consumer goods, politics, and advocacy. Domain experience in any of these areas is a plus to help craft targeted ML solutions. At Resonate, you will contribute to advancing our product suite from data development to SaaS tools and be encouraged to challenge the status quo and bring forward new ideas. If you are passionate about data, detail-oriented, and committed to innovation, we invite you to join our team and help shape our future. Responsibilities
Lead, manage, and mentor the integrated Data Science and Machine Learning Engineering teams, ensuring accountability for methodology and delivery. Foster a highly collaborative environment where data scientists and MLEs work together to accelerate idea-to-production value. Define the operational model for the combined team to optimize velocity, quality, and innovation, even with a lean team. End-to-End Strategic Ownership
Drive the strategic vision for data science and AI, aligning with the product roadmap and business goals. Own the end-to-end ML lifecycle, from ideation and development to deployment, monitoring, and production maintenance. Lead and communicate an R&D agenda to advance product lines with focus on methodologies, modeling techniques, and agentic systems. Technical and Operational Delivery
Shape the architectural vision for MLOps infrastructure and champion scalable, automated model deployment. Provide hands-on leadership in developing and deploying advanced ML models, including deep learning, embeddings, neural networks, and GNNs. Leverage AWS Bedrock, SageMaker, TensorFlow, and PyTorch to build and scale AI/ML capabilities. Stay current on ML/AI/GenAI trends and advocate adoption of new technologies and methodologies. Communication and Evangelism
Represent AI and data science to the executive team, the board, and the organization in partnership with the CTO. Participate in industry events, conferences, and customer meetings as the face of our data science and AI practice. Distill complex technical topics for both technical and non-technical audiences. Qualifications & Experience
Leadership and Communication Exceptional communication and presentation skills with the ability to articulate a clear and compelling vision. A \
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