Senior Lead Data Scientist, Graph & Forecasting

Dynata; Northern (KY); Hybrid; USD 120,000 - 155,000; Full time

Job summary

Dynata seeks a Senior Lead Data Scientist for Graph & Forecasting to lead the development of predictive intelligence powering key decisions. You will design graph-based representations and predictive models, ensuring solutions are robust, scalable, and production-ready.

Reporting to the VP, Data Science, you will collaborate with product, engineering, and platform teams on identity resolution, feasibility prediction, panel health, audience intelligence, and dynamic pricing.

Qualifications

• 8+ years in data science or related fields.
• Proven experience deploying graph analytics in production.
• Expertise in graph databases and forecasting methodologies.
• Strong communication with stakeholders.

Responsibilities

• Graph Science & Identity Intelligence: architect graph models for audience intelligence and identity resolution.
• Forecasting & Predictive Modeling: build time-series and predictive models for key business use cases.
• Model Quality & Technical Leadership: validate models and establish governance for production-grade ML.
• Cross-Functional Collaboration: partner with Product, Technology, and Data Platform teams.

Skills

Graph analytics

Forecasting

Python

Identity resolution

Tools

Neptune

Neo4j

TigerGraph

Job description

Dynata is seeking a Senior Lead Data Scientist for Graph & Forecasting to lead the development of predictive intelligence capabilities that power key operational, commercial, and product decisions across the organization. This role sits at the intersection of graph analytics, identity resolution, and advanced forecasting. The Senior Lead Data Scientist will be responsible for designing and optimizing graph-based representations of Dynata's data assets, developing predictive models that improve key business outcomes, and ensuring analytical models are robust, scalable, and production-ready. Reporting to the VP, Data Science, this individual will partner closely with product, engineering, and platform teams to build capabilities supporting use cases such as identity resolution, feasibility prediction, panel health monitoring, audience intelligence, dynamic pricing, and operational optimization.

Key Responsibilities

• Graph Science & Identity Intelligence Architect and optimize graph-based data models supporting audience intelligence, project similarity analysis, clustering, and relationship-driven analytics. Develop and maintain resilient identity resolution frameworks across multiple respondent identifier systems using deterministic and probabilistic matching techniques. Design graph structures that support downstream analytics, forecasting, optimization, and AI applications. Continuously evaluate graph performance, scalability, and business impact.
• Forecasting & Predictive Modeling Build and maintain forecasting models for supply prediction, incidence estimation, completion probability, panel health, and other business-critical use cases. Develop time-series and predictive models that account for changing respondent behavior, market dynamics, and operational conditions. Extend forecasting approaches to support scenario analysis, optimization, and decision support. Monitor model performance and identify opportunities for continuous improvement.
• Model Quality & Technical Leadership Design and execute rigorous validation strategies to assess model accuracy, stability, scalability, and operational readiness. Establish best practices for model evaluation, experimentation, monitoring, and governance. Serve as a technical authority for graph analytics, forecasting methodologies, and production‑grade machine learning. Ensure solutions are designed for long‑term maintainability, performance, and business value.
• Cross‑Functional Collaboration Partner closely with Product, Technology, and Data Platform teams. Collaborate on schema design, feature engineering strategies, and data contracts to ensure platform capabilities support analytical requirements. Translate complex analytical findings into actionable business recommendations. Influence technical and business stakeholders on analytical investments, priorities, and roadmap decisions.

Qualifications

• 8+ years of hands‑on experience in data science, applied machine learning, analytics, or related fields.
• Proven experience developing and deploying graph analytics, machine learning, or predictive modeling solutions in production environments.
• Deep expertise in graph analytics, including graph databases, graph algorithms, similarity modeling, clustering, and network analysis.
• Strong experience with graph technologies such as Neptune, Neo4j, TigerGraph, or comparable platforms.
• Strong background in forecasting, time‑series analysis, statistical modeling, and predictive analytics.
• Advanced proficiency in Python and modern data science tooling.
• Experience working with large‑scale, noisy, real‑world operational datasets.
• Demonstrated ability to make complex technical decisions and operate effectively in ambiguous problem spaces.
• Strong communication skills with the ability to explain complex analytical concepts to technical and non‑technical stakeholders.
• Experience collaborating with product, engineering, and platform teams to deliver production‑ready solutions.

Preferred Qualifications

• Experience with identity resolution, entity resolution, master data management, or identity graph development.
• Experience applying graph analytics to similarity modeling, community detection, clustering, relationship discovery, recommendation, and graph embeddings.
• Experience with forecasting, trend and seasonality detection, anomaly and change‑point detection, cohort evolution, longitudinal measurement, and demand planning.
• Experience in market research, panel data, audience measurement, advertising technology, marketplaces, or related industries.
• Experience with cloud‑native analytics and machine learning environments, including AWS ecosystem.
• Familiarity with optimization, simulation, or decision‑support systems.

At Dynata, we deliver the highest quality first‑party data to help businesses around the world gain precise insights, activate the right audiences, and confidently measure impact. With industry‑leading respondent accuracy, reliability, and a commitment to continuous improvement, Dynata is the trusted foundation for smarter decision‑making.

At Dynata, we are committed to creating an inclusive and accessible environment where every employee and customer feels valued, respected, and supported. We strive to build a workforce that reflects the diversity of the communities we serve. Dynata welcomes and encourages applications from individuals with disabilities and is dedicated to fostering a work culture that supports everyone. Accommodations are available upon request for all aspects of the selection process. Dynata is an Equal Opportunity Employer. We consider all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, marital status, age, disability, genetic information, veteran status, or any other legally protected status under applicable laws.

The base salary range for this position in is $120K-$155K/yr; however, base pay offered may vary depending on location, job‑related knowledge, skills, and experience. A discretionary incentive program may be provided as part of the compensation package, in addition to a full range of medical and other benefits, dependent on full‑time employment status. #LI-Remote

Who we are

At Dynata, we deliver the highest quality first‑party data to help businesses around the world gain precise insights, activate the right audiences, and confidently measure impact. With industry‑leading respondent accuracy, reliability, and a commitment to continuous improvement, Dynata is the trusted foundation for smarter decision‑making. At Dynata, your work directly influences how the world’s leading organizations understand people, markets, and behavior.

About our culture

Our culture is rooted in inspiration, collaboration, and a drive for excellence. At Dynata, a career is more than just a job—it’s a place where your work matters, your voice is heard, and your growth is supported every step of the way. Whether you’re passionate about innovation, driven to make a difference, or excited to join a collaborative team that puts integrity and impact at the center of everything we do, you’ll find your next chapter here. We provide A collaborative, inclusive culture that values expertise, curiosity, and ownership. The chance to make a measurable impact on how insights are created and trusted. Competitive compensation, benefits, and opportunities for growth. We recently won the 2026 Association for Talent Development BEST award. We are honored to be recipients of the 2026 Association for Talent Development (ATD) BEST Award, one of the industry’s most prestigious recognitions for excellence in talent development. Receiving this distinction validates our intentional investment in fostering a supportive and empowering environment for our team members. At Dynata, we don’t just talk about development—we put it into action. Every April, our global Power Your Career conference brings together employees from around the world to connect, learn, and grow. Our experiential High‑Potential Program provides rising leaders with immersive, hands‑on opportunities for professional development, ensuring our next generation of talent is ready to make a difference. Additionally, our Leadership Challenges equip managers and future leaders with the skills and insights necessary to drive quality and excellence throughout the organization.