Manager, Data Science
Manhattan, NY · On-site
The Manager of Data Science will lead advanced audience development and data science solutions to drive client growth, working hands-on with large datasets and collaborating across teams to deliver ...
Manager, Data Science
Manhattan, NY · On-site
The Manager of Data Science will lead advanced audience development and data science solutions to drive client growth, working hands-on with large datasets and collaborating across teams to deliver ...
Manager, Data Science
New York, NY · On-site
We are looking for a hands-on Data Science Manager to lead our growing Data Science function while remaining deeply involved in solving high-impact machine learning problems. While this role will ...
Manager, Data Science
New York, NY · On-site
We are looking for a hands-on Data Science Manager to lead our growing Data Science function while remaining deeply involved in solving high-impact machine learning problems. While this role will ...
Manager, Data Science
Manhattan, NY · On-site
The Manager of Data Science is responsible for leading advanced audience development and data and technology enablement to drive client growth. This role is both strategic and hands-on, working with ...
Manager, Data Science
Manhattan, NY · On-site
The Manager of Data Science is responsible for leading advanced audience development and data and technology enablement to drive client growth. This role is both strategic and hands-on, working with ...
Manager, Data Science
Manhattan, NY · On-site
Overview The Manager of Data Science is responsible for leading advanced audience development and data and technology enablement to drive client growth. This role is both strategic and hands-on ...
Manager, Data Science
Manhattan, NY · On-site
Overview The Manager of Data Science is responsible for leading advanced audience development and data and technology enablement to drive client growth. This role is both strategic and hands-on ...
The Manager of Data Science is responsible for leading advanced audience development and data and technology enablement to drive client growth. This role is both strategic and hands-on, working with ...
The Manager of Data Science is responsible for leading advanced audience development and data and technology enablement to drive client growth. This role is both strategic and hands-on, working with ...
Mgr-Data Science
Manhattan, NY · On-site
$103K - $174K/yr
This role sits within Finance Data Science and Analytics, a team focused on developing innovative ... Collaborate with key stakeholders, including senior management, partners, and the model validation ...
Mgr-Data Science
Manhattan, NY · On-site
$103K - $174K/yr
This role sits within Finance Data Science and Analytics, a team focused on developing innovative ... Collaborate with key stakeholders, including senior management, partners, and the model validation ...
Manager, Data Science - Emerging ML Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Manager, Data Science - Emerging ML Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
This role sits within Finance Data Science and Analytics, a team focused on developing innovative ... Collaborate with key stakeholders, including senior management, partners, and the model validation ...
This role sits within Finance Data Science and Analytics, a team focused on developing innovative ... Collaborate with key stakeholders, including senior management, partners, and the model validation ...
Senior Manager, Data Science, Bank Operations Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Senior Manager, Data Science, Bank Operations Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Manager, Data Science - Emerging ML Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Manager, Data Science - Emerging ML Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Manager-Data Science
New York, NY · On-site
This Manager - Data Science role would be responsible for US Prospect or Customer Analytics for sales channels. The incumbent will be responsible for performing strategic analyses, synthesizing ...
Manager-Data Science
New York, NY · On-site
This Manager - Data Science role would be responsible for US Prospect or Customer Analytics for sales channels. The incumbent will be responsible for performing strategic analyses, synthesizing ...
Manager, Data Science - AI Foundations Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Manager, Data Science - AI Foundations Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Manager, Data Science - AI Foundations Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Manager, Data Science - AI Foundations Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... The Business Card & Payments Data Science team builds industry leading machine learning models to ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... The Business Card & Payments Data Science team builds industry leading machine learning models to ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... The Business Card & Payments Data Science team builds industry leading machine learning models to ...
As a startup, we disrupted the credit card industry by individually personalizing every credit card ... The Business Card & Payments Data Science team builds industry leading machine learning models to ...
Manager, Data Science - AI Foundations Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Manager, Data Science - AI Foundations Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Manager-Data Science
New York, NY · On-site
Scalable Data Science & Systems Thinking: * Architect scalable data science solutions leveraging large, complex datasets (behavioral, clickstream, firmographic). * Establish reusable frameworks ...
Manager-Data Science
New York, NY · On-site
Scalable Data Science & Systems Thinking: * Architect scalable data science solutions leveraging large, complex datasets (behavioral, clickstream, firmographic). * Establish reusable frameworks ...
Senior Manager, Data Science - AI Foundations Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Senior Manager, Data Science - AI Foundations Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Senior Manager, Data Science - AI Foundations Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Senior Manager, Data Science - AI Foundations Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Senior Manager, Data Science - AI Foundations Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
Senior Manager, Data Science - AI Foundations Data is at the center of everything we do ... As a startup, we disrupted the credit card industry by individually personalizing every credit card ...
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Full-time
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Job description
Job Summary:
Spark Foundry is one of the world’s most successful advertising agencies, leveraging identity, commerce, and artificial intelligence to connect brands with people. The Manager of Data Science will lead advanced audience development and data science solutions to drive client growth, working hands-on with large datasets and collaborating across teams to deliver actionable insights.
Responsibilities:
• Navigate a complex, multi-source data environment and creatively identify appropriate datasets and methodologies for ever-changing client questions
• Monitor data quality and maintain data science pipelines for client data assets, including 1PD and 3PD
• Develop, deploy, and maintain ML and AI workflows for identifying and targeting relevant audiences, including propensity/classification models as well as unsupervised clustering/segmentation
• Develop and execute novel methods of analyzing audiences, such as customer profiling, customer journeys, purchase predictions/recommendations, etc.
• Collaborate with strategy teams to translate technical outputs into relevant business insights and recommendations, including client-facing discussions and dashboards
• Collaborate with analytics teams to develop and implement testing frameworks for closed-loop audience measurement
• Develop and implement a test-and-learn roadmap to continuously refine data-driven strategies, enabling rapid optimization
• Contribute to data science team- and practice-building initiatives, e.g. presenting case studies in cross-functional forums, creating collateral around data capabilities, and pursuing internal research projects
• Document and share optimized, reusable code with data science colleagues using Git
• Continuously innovate, staying current with the latest technological developments and applying them to current workflows
• Independently set, communicate, and deliver against realistic expectations and timelines
• Guide the development of client data strategy and promote the adoption of data-driven processes across planning, activation, and measurement
• Proactively identify and pursue new use cases and opportunities to use data science capabilities to solve client challenges
Qualifications:
Required:
• 2+ years of data science experience in advertising, marketing, or related fields
• Deep theoretical and practical understanding of statistical/ML techniques and experimental design
• Hands-on experience with granular, disaggregated data, particularly behavioral consumer datasets and/or media logs
• Advanced proficiency with SQL for big data analytics
• Python for production-ready workflow development
• Experience with Databricks or similar cloud-based big data platforms, e.g. Snowflake, BigQuery, Redshift
• Experience building agentic workflows and integrating AI solutions into existing data and tech stacks
Preferred:
• Agency experience preferred
• Advanced degree in Statistics, Data Science, or other quantitative fields preferred
• Engagement with publisher walled gardens (AMC, ADH, etc.) a plus
Company:
Spark Foundry is one of six global media agency brands within Publicis Media. Founded in 2016, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Spark Foundry is one of the world’s most successful advertising agencies, leveraging identity, commerce, and artificial intelligence to connect brands with people. The Manager of Data Science will lead advanced audience development and data science solutions to drive client growth, working hands-on with large datasets and collaborating across teams to deliver actionable insights.
Responsibilities:
• Navigate a complex, multi-source data environment and creatively identify appropriate datasets and methodologies for ever-changing client questions
• Monitor data quality and maintain data science pipelines for client data assets, including 1PD and 3PD
• Develop, deploy, and maintain ML and AI workflows for identifying and targeting relevant audiences, including propensity/classification models as well as unsupervised clustering/segmentation
• Develop and execute novel methods of analyzing audiences, such as customer profiling, customer journeys, purchase predictions/recommendations, etc.
• Collaborate with strategy teams to translate technical outputs into relevant business insights and recommendations, including client-facing discussions and dashboards
• Collaborate with analytics teams to develop and implement testing frameworks for closed-loop audience measurement
• Develop and implement a test-and-learn roadmap to continuously refine data-driven strategies, enabling rapid optimization
• Contribute to data science team- and practice-building initiatives, e.g. presenting case studies in cross-functional forums, creating collateral around data capabilities, and pursuing internal research projects
• Document and share optimized, reusable code with data science colleagues using Git
• Continuously innovate, staying current with the latest technological developments and applying them to current workflows
• Independently set, communicate, and deliver against realistic expectations and timelines
• Guide the development of client data strategy and promote the adoption of data-driven processes across planning, activation, and measurement
• Proactively identify and pursue new use cases and opportunities to use data science capabilities to solve client challenges
Qualifications:
Required:
• 2+ years of data science experience in advertising, marketing, or related fields
• Deep theoretical and practical understanding of statistical/ML techniques and experimental design
• Hands-on experience with granular, disaggregated data, particularly behavioral consumer datasets and/or media logs
• Advanced proficiency with SQL for big data analytics
• Python for production-ready workflow development
• Experience with Databricks or similar cloud-based big data platforms, e.g. Snowflake, BigQuery, Redshift
• Experience building agentic workflows and integrating AI solutions into existing data and tech stacks
Preferred:
• Agency experience preferred
• Advanced degree in Statistics, Data Science, or other quantitative fields preferred
• Engagement with publisher walled gardens (AMC, ADH, etc.) a plus
Company:
Spark Foundry is one of six global media agency brands within Publicis Media. Founded in 2016, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About Spark Foundry
Sourced by ZipRecruiter
Industry
Marketing
Company size
1,001 - 5,000 Employees
Headquarters location
New York, NY, US
Year founded
2017