CJ
Data Scientist II, Performance Marketing
Join to apply for the
Data Scientist II, Performance Marketing
role at
CJ
Company Description We’ve been leading the charge in the affiliate industry from day one—establishing performance marketing and paving the way for future innovations. We’re known for maintaining one of the largest, most reliable partnership platforms with impeccable, personalized service. Founded in Santa Barbara, California in 1998, CJ (formerly Commission Junction) stands as the most trusted name in performance marketing. We specialize in building partnerships between top brands and reputable publishers to drive revenue and business growth. CJ’s industry-leading solutions make us the platform of choice for over 3,800 global brands across sectors like retail, travel, finance, technology, and home services. As part of Publicis Groupe, our savvy data capabilities, cutting-edge tech, and strategic expertise facilitate genuine connections, allowing brands to reach consumers wherever they are.
Overview In this client-facing Data Scientist 2 role at CJ, you will support and lead advanced analysis projects for individual clients and internal collaborators within the Data Science organization. You will take ownership of complex projects end-to-end, ensuring data accuracy while delivering actionable insights that drive advertising program growth across e-commerce, travel, and finance verticals. Collaborating with cross‑functional teams, you will interact directly with clients to translate business needs into impactful data science solutions. You’ll tap into your expertise in PySpark, Scala, Tableau, advanced measurement (incrementality, MMM, lift testing), and modern AI/ML techniques—including large language models (LLMs)—to develop, visualize, and communicate analyses that enable data‑driven decision‑making in a dynamic digital advertising landscape.
Responsibilities
Lead and support advanced client‑facing data science and analytics projects, including forecasting, incrementality measurement, and program optimization.
Take ownership of project scoping, data querying and modeling, quality checks, and delivery of actionable insights.
Analyze large‑scale e-commerce and advertising datasets, demonstrating statistical and ML methods to uncover opportunities and support growth strategies.
Design and interpret incrementality tests, marketing mix models (MMM), and lift tests to assess causal impact and optimize marketing spend.
Build machine learning models, such as forecasting and inferential analysis, and implement solutions about LLM when relevant.
Create and deliver Tableau dashboards and reporting that distill complex analysis into clear, actionable insights for both internal and external stakeholders.
Collaborate with account teams, engineers, and other data scientists to design and implement scalable data solutions.
Present technical findings and recommendations to non‑technical audiences, demonstrating strong client‑facing and communication skills.
Qualifications
3‑5 years of professional experience in Data Science and Analytics.
2+ years of hands‑on experience with PySpark, Scala, and Tableau.
Must have Ad Tech / MarTech industry experience, specifically in e-commerce, travel, and finance.
Strong client‑facing experience, including presentations and solution delivery.
Proven ability to deliver scalable data solutions and actionable insights in digital advertising or affiliate marketing.
Proficiency with GitLab or GitHub for version control and collaborative development.
Experience developing alongside LLM code assistants (e.g., Copilot, Claude, Codex).
Preferred: Experience implementing LLMs into business workflows, including training, fine‑tuning, and manipulation for applied use cases.
Experience with incrementality testing, MMM, and lift test design and analysis.
Strong communication skills with the ability to simplify and explain complex technical results to non‑technical collaborators.
Additional Information This is a hybrid role requiring 3 days a week in office.
You must be work authorized in the United States without the need for employer sponsorship.
We provide advanced tools, training and career development opportunities all to provide modern solutions, strategies and support to deliver high quality results for our clients. We work in an enthusiastic, collaborative team setting that values outstanding performance.
Why Our Workplace Stands Out
Flexible time off without the hassle of accrual
A generous number of paid holidays
Company-sponsored team‑building events
An Employee Referral Program
Annual recognition awards
Hybrid work arrangements for optimal work‑life balance
Parental bonding leave
Backup care options for children and elders
An employee discount program
International SOS program for global support
Business Resource Groups, where employees connect over shared interests to cultivate an engaging, inclusive environment
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
Compensation Range: $87,210 - $115,000 annually. The Company reserves the right to modify this pay range at any time. The application deadline for this job posting will be 12/15/25.
All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr
Data Scientist II, Performance Marketing
role at
CJ
Company Description We’ve been leading the charge in the affiliate industry from day one—establishing performance marketing and paving the way for future innovations. We’re known for maintaining one of the largest, most reliable partnership platforms with impeccable, personalized service. Founded in Santa Barbara, California in 1998, CJ (formerly Commission Junction) stands as the most trusted name in performance marketing. We specialize in building partnerships between top brands and reputable publishers to drive revenue and business growth. CJ’s industry-leading solutions make us the platform of choice for over 3,800 global brands across sectors like retail, travel, finance, technology, and home services. As part of Publicis Groupe, our savvy data capabilities, cutting-edge tech, and strategic expertise facilitate genuine connections, allowing brands to reach consumers wherever they are.
Overview In this client-facing Data Scientist 2 role at CJ, you will support and lead advanced analysis projects for individual clients and internal collaborators within the Data Science organization. You will take ownership of complex projects end-to-end, ensuring data accuracy while delivering actionable insights that drive advertising program growth across e-commerce, travel, and finance verticals. Collaborating with cross‑functional teams, you will interact directly with clients to translate business needs into impactful data science solutions. You’ll tap into your expertise in PySpark, Scala, Tableau, advanced measurement (incrementality, MMM, lift testing), and modern AI/ML techniques—including large language models (LLMs)—to develop, visualize, and communicate analyses that enable data‑driven decision‑making in a dynamic digital advertising landscape.
Responsibilities
Lead and support advanced client‑facing data science and analytics projects, including forecasting, incrementality measurement, and program optimization.
Take ownership of project scoping, data querying and modeling, quality checks, and delivery of actionable insights.
Analyze large‑scale e-commerce and advertising datasets, demonstrating statistical and ML methods to uncover opportunities and support growth strategies.
Design and interpret incrementality tests, marketing mix models (MMM), and lift tests to assess causal impact and optimize marketing spend.
Build machine learning models, such as forecasting and inferential analysis, and implement solutions about LLM when relevant.
Create and deliver Tableau dashboards and reporting that distill complex analysis into clear, actionable insights for both internal and external stakeholders.
Collaborate with account teams, engineers, and other data scientists to design and implement scalable data solutions.
Present technical findings and recommendations to non‑technical audiences, demonstrating strong client‑facing and communication skills.
Qualifications
3‑5 years of professional experience in Data Science and Analytics.
2+ years of hands‑on experience with PySpark, Scala, and Tableau.
Must have Ad Tech / MarTech industry experience, specifically in e-commerce, travel, and finance.
Strong client‑facing experience, including presentations and solution delivery.
Proven ability to deliver scalable data solutions and actionable insights in digital advertising or affiliate marketing.
Proficiency with GitLab or GitHub for version control and collaborative development.
Experience developing alongside LLM code assistants (e.g., Copilot, Claude, Codex).
Preferred: Experience implementing LLMs into business workflows, including training, fine‑tuning, and manipulation for applied use cases.
Experience with incrementality testing, MMM, and lift test design and analysis.
Strong communication skills with the ability to simplify and explain complex technical results to non‑technical collaborators.
Additional Information This is a hybrid role requiring 3 days a week in office.
You must be work authorized in the United States without the need for employer sponsorship.
We provide advanced tools, training and career development opportunities all to provide modern solutions, strategies and support to deliver high quality results for our clients. We work in an enthusiastic, collaborative team setting that values outstanding performance.
Why Our Workplace Stands Out
Flexible time off without the hassle of accrual
A generous number of paid holidays
Company-sponsored team‑building events
An Employee Referral Program
Annual recognition awards
Hybrid work arrangements for optimal work‑life balance
Parental bonding leave
Backup care options for children and elders
An employee discount program
International SOS program for global support
Business Resource Groups, where employees connect over shared interests to cultivate an engaging, inclusive environment
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
Compensation Range: $87,210 - $115,000 annually. The Company reserves the right to modify this pay range at any time. The application deadline for this job posting will be 12/15/25.
All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr