Apply on Employer Site

Mirage · 2 weeks ago

Data Scientist, Marketing

New York, NY

Full-time

Onsite

Senior Level

$150K/yr - $200K/yr

5+ years exp

Mirage is the leading AI short-form video company, and they are seeking a Data Scientist to enhance their marketing strategy. In this role, you will analyze marketing performance, develop predictive models, and collaborate with cross-functional teams to drive the company's growth through data-driven insights.

Artificial Intelligence (AI)Generative AISoftware

Responsibilities

Analyze acquisition, lifecycle, and overall marketing performance to surface trends, identify funnel gaps, and highlight opportunities to improve efficiency and customer value

Build and maintain predictive models that support forecasting, customer understanding, targeting, and personalization

Develop and improve marketing measurement frameworks to better understand channel impact, attribution, and drivers of growth

Conduct deep analyses of customer behavior, segments, and retention patterns to inform marketing and product strategy

Design, run, and evaluate experiments (e.g., A/B tests) to measure the impact of marketing initiatives and guide decision-making

Assess multi-channel campaign performance and provide clear recommendations to marketing partners to improve outcomes

Work closely with cross functional teams and leadership to enhance data quality, evolve marketing datasets, and support scalable analytical workflows

Communicate insights clearly and effectively, turning complex analyses into actionable recommendations for leadership and cross-functional teams

Qualification

Data ScienceSQLPythonMarketing MeasurementPredictive ModelingCloud Data WarehousesStatistical TestingAnalytical SkillsCross-Functional CollaborationCommunication Skills

Required

Minimum of 5 years of experience in data science, marketing data science, or growth analytics within B2C, B2B, e-commerce, or SaaS environments

Advanced proficiency in SQL and Python, including experience with data manipulation libraries and statistical modeling

Hands-on experience with modern cloud data warehouses (e.g., BigQuery) and building scalable data models or pipelines for analytics

Strong understanding of marketing measurement, including CAC, CLV, ROAS, funnel analytics, incrementality testing, and attribution methods (MMM, MTA, SKAN)

Experience with predictive modeling, such as LTV, churn, conversion propensity, clustering, and time-series forecasting

Familiarity with mobile measurement partners, including AppsFlyer or Adjust, and mobile attribution concepts

Experience designing and evaluating experiments, with a solid grounding in statistical testing, causal inference, and uplift modeling

Demonstrated ability to work cross-functionally, partnering with Marketing, Product, Finance, and Data Engineering stakeholders

Exceptional analytical and problem-solving skills, with the ability to break down ambiguous problems and operate autonomously in fast-paced environments

Clear and effective communication skills, with the ability to convey complex technical insights to non-technical audiences