dentsu · 5 hours ago
Senior Data Scientist (Business Intelligence & Data Science)
New York, United States
Full-time
Hybrid
Mid, Senior Level
$68K/yr - $110K/yr
3+ years expDentsu is a company focused on delivering innovative solutions that meet client and business objectives. They are seeking a Senior Data Scientist to support business intelligence and data science initiatives by providing high-quality analysis, models, and insights that inform campaign performance and business decisions.
AdvertisingInformation ServicesMarketing
Responsibilities
Analyze media and marketing data to evaluate campaign performance and optimization opportunities
Build and maintain analytical and statistical models within established frameworks
Support attribution and measurement efforts (e.g., assisting with multi-touch attribution, incrementality analyses, or testing frameworks)
Design, execute, and analyze A/B tests in partnership with media and strategy teams
Translate analytical findings into clear, actionable insights for non-technical stakeholders
Use Python/SQL/R to analyze large datasets and build reproducible analytical workflows
Work with data from media platforms, internal systems, and cloud-based data environments
Contribute to existing analytics pipelines and dashboards supported by engineering or platform teams
Ensure analyses are well-documented, accurate, and reproducible
Partner with data engineering or machine learning teams to transition analytical work when appropriate
Partner with reporting teams and other areas of the business to assist with visualization or analytics requests as needed
Partner cross-functionally with media, strategy, and technology teams to understand analytical needs
Communicate insights clearly to both technical and non-technical audiences
Contribute to documentation and knowledge-sharing across the analytics community
Mentoring and guiding junior data scientists or analysts
Taking on team-lead or people management responsibilities
Contributing to hiring, onboarding, and team development
Owning increasingly complex models and analytical systems
Contributing to the design or ownership of production ML pipelines
Partnering closely with ML engineering and platform teams on model deployment and monitoring
Qualification
Required
3–5 years of experience in data science, analytics, or a related quantitative role
Proficiency in SQL, PowerBI, and either Python or R
Solid understanding of statistics, experimental design, and analytical modeling
Ability to communicate analytical findings clearly to partners with varying technical backgrounds
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field
Preferred
Master's Degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field preferred
Experience with advertising or media analytics
Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Databricks)
Interest in developing toward technical leadership or people management
Benefits
Medical, vision, and dental insurance
Life insurance
Short-term and long-term disability insurance
401k
Flexible paid time off
At least 15 paid holidays per year
Paid sick and safe leave
Paid parental leave
Company
dentsu
We are dentsu.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$24.88MKey Investors
Epiris
2012-07-12Acquired
1993-11-01Private Equity· $24.88M
Leadership Team
Dawn Rowlands
CEO Sub-Saharan Africa
Nigel Sharrocks
CEO, Aegis Media Global Brands
Recent News
Morningstar.com
2025-06-13
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