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2 часа назад

Senior Data Scientist (Ad Platform)

165 000 - 205 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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

hirify.global 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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