Jobs · Engineering

Senior Data Scientist, Ads

Ladders · United States · 2 days ago
RemoteRemoteEngineering$191k–$267k/yrFull-time

About the role

This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery, partnering with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a Media environment.

Location: Remote - US based candidates only, no visa sponsorship available. Compensation: $190,800 – $267,100 annually.

Responsibilities

  • Design, develop, and apply data science solutions to enhance advertiser experience
  • Analyze large-scale datasets to identify trends and insights for ad platform improvement
  • Collaborate with product managers and engineers to define product requirements
  • Develop ML models and data science methods for anomaly detection and prediction
  • Communicate findings and recommendations to stakeholders
  • Stay current on advancements in machine learning and data science
  • Mentor and guide junior data scientists

Qualifications

  • MS or PhD in Computer Science, Statistics, Mathematics, or a related field
  • 5+ years of experience in data science, machine learning, or a related field
  • Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
  • Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive
  • Proficiency in Python or R with experience in machine learning libraries like scikit-learn, TensorFlow, or PyTorch
  • Experience with SQL and relational databases
  • Excellent communication and presentation skills

Benefits

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k Match
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & the company Global Days Off
  • Generous paid Parental Leave
  • Paid Volunteer time off

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