CJ
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Data Scientist II, MarTech
role at
CJ .
Welcome to Our World. We’ve been leading the charge in the affiliate industry from day one—establishing performance marketing and paving the way for future innovations. We are 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. J’s industry‑leading solutions make us the platform of choice for over 3,800 global brands across sectors.
Overview In this client‑facing Data Scientist II 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, visualise, 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 optimisation.
Take ownership of project scoping, data querying and modelling, quality checks, and delivery of actionable insights.
Analyse 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 optimise marketing spend.
Build machine‑learning models, such as forecasting and inferential analysis, and implement solutions involving LLMs when relevant.
Create and deliver Tableau dashboards and reporting that distil 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.
Why Our Workplace Stands Out
Competitive salaries, 401(k) matching, wellness programs, and comprehensive medical, dental, and vision coverage.
Flexible time off without the hassle of accrual.
Generous number of paid holidays.
Company‑sponsored team‑building events.
Employee Referral Program.
Annual recognition awards.
Hybrid work arrangements for optimal work‑life balance.
Parental bonding leave.
Backup care options for children and elders.
Employee discount program.
International SOS program for global support.
Business Resource Groups where employees connect over shared interests to cultivate an inclusive environment.
Compensation Range: $87,210 - $115,000 annually. The pay range is an estimate and may be modified at any time. Temporary roles may qualify for participation in 401(k) or other benefits after meeting eligibility criteria.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Employment Details
Seniority level: Not Applicable
Employment type: Full‑time
Job function: Engineering and Information Technology
Industry: Advertising Services
#J-18808-Ljbffr
Data Scientist II, MarTech
role at
CJ .
Welcome to Our World. We’ve been leading the charge in the affiliate industry from day one—establishing performance marketing and paving the way for future innovations. We are 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. J’s industry‑leading solutions make us the platform of choice for over 3,800 global brands across sectors.
Overview In this client‑facing Data Scientist II 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, visualise, 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 optimisation.
Take ownership of project scoping, data querying and modelling, quality checks, and delivery of actionable insights.
Analyse 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 optimise marketing spend.
Build machine‑learning models, such as forecasting and inferential analysis, and implement solutions involving LLMs when relevant.
Create and deliver Tableau dashboards and reporting that distil 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.
Why Our Workplace Stands Out
Competitive salaries, 401(k) matching, wellness programs, and comprehensive medical, dental, and vision coverage.
Flexible time off without the hassle of accrual.
Generous number of paid holidays.
Company‑sponsored team‑building events.
Employee Referral Program.
Annual recognition awards.
Hybrid work arrangements for optimal work‑life balance.
Parental bonding leave.
Backup care options for children and elders.
Employee discount program.
International SOS program for global support.
Business Resource Groups where employees connect over shared interests to cultivate an inclusive environment.
Compensation Range: $87,210 - $115,000 annually. The pay range is an estimate and may be modified at any time. Temporary roles may qualify for participation in 401(k) or other benefits after meeting eligibility criteria.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Employment Details
Seniority level: Not Applicable
Employment type: Full‑time
Job function: Engineering and Information Technology
Industry: Advertising Services
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