Senior Manager, Data Science - Marketing Analytics & Data Science
ABC Agency is a marketing services firm that helps brands plan and execute campaigns using data‑driven insights. The Senior Manager, Data Science – Marketing Analytics & Data Science will lead a team of analysts and data scientists to develop, test and deploy statistical and machine learning models that measure campaign performance, predict customer response and optimise media spend. Day‑to‑day responsibilities include translating business questions into analytical projects, overseeing data collection and cleaning pipelines, designing experiments, interpreting results and presenting actionable recommendations to marketing stakeholders. The role also involves mentoring junior staff, setting technical standards, coordinating with engineering and product teams, and ensuring that analytical outputs align with overall agency strategy. Ideal candidates have several years of hands‑on experience in data science or analytics, a strong background in marketing analytics, and proven leadership abilities. Proficiency in Python or R, SQL, and common ML libraries, along with solid communication skills and a track record of delivering insights that drive marketing decisions, are essential.
Education
- Batch: 2026
- Level: Bachelor's degree
Key Skills
Experience required
12-16 years experienceSenior Manager, Data Science - Marketing Analytics & Data Science ABC Agency job via Majoris Technologies by vaishnavi uttam
Skills for this role
Also mentioned in the listing
| Role | Senior Manager, Data Science - Marketing Analytics & Data Science |
|---|---|
| Company | ABC |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
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