2 часа назад
Senior Data Scientist (Ad Platform)
165 000 - 205 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Ad Platform) (Adtech/ML): Optimizing ad delivery, targeting, bidding strategies, and personalization through large-scale analytics, statistical modeling, and machine learning with an accent on A/B experimentation, causal inference, and real-time advertising systems. Focus on building scalable data pipelines, developing ranking and delivery models, and solving complex ad performance and revenue optimization challenges.
Location: Mountain View, California, United States
Annual base pay: $165,000–$205,000 USD
Company
is a content intelligence platform serving more than 40 million monthly active users through personalized local news and information powered by AI, recommendation systems, and advertising technology.
What you will do
- Analyze large-scale datasets to identify trends, inefficiencies, and opportunities to improve advertising performance and revenue.
- Design A/B experiments to evaluate ad products, bidding strategies, and user engagement.
- Develop data visualizations, reports, and dashboards that provide actionable insights.
- Collaborate with engineers to build scalable data pipelines and real-time machine learning systems.
- Partner with product managers to define performance metrics and guide product roadmaps.
- Research and implement statistical and machine learning solutions for ad personalization, targeting, ranking, and delivery.
Requirements
- Bachelor’s, master’s, or PhD in computer science, statistics, mathematics, or a related field.
- 3+ years of experience in data science, analytics, or machine learning, preferably in advertising or digital marketing.
- Strong programming skills in Python, R, or SQL.
- Experience with big data technologies such as Spark, Hadoop, or TensorFlow.
- Expertise in statistical analysis, A/B testing, and causal inference.
- Knowledge of ad attribution, auction dynamics, user behavior modeling, and the ability to communicate complex insights to non-technical stakeholders.
Nice to have
- Experience with large-scale advertising datasets and real-time bidding platforms.
Culture & Benefits
- Work on machine learning and optimization problems in digital advertising at scale.
- Health, dental, and vision coverage for employees and families, with 100% employee coverage.
- 401(k) plan with company matching.
- Paid time off, paid holidays, FSA, HSA, and commuter benefits.
- Team activity budget and opportunities for professional growth.
Hiring process
- Recruiter can provide further details about discretionary bonuses and stock options during the hiring process.
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