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Data Scientist

Posted 2024-11-20

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💎 Seniority level: Middle, 3+ years

🔍 Industry: SaaS, ad tech

⏳ Experience: 3+ years

Requirements:
  • Ideal master or Ph.D. in Data Science, Statistics, Mathematics, or related field.
  • 3+ years of experience in data science, specifically in forecasting.
  • Proficiency in Python and data science libraries such as Pandas, NumPy, and Scikit-Learn.
  • Strong expertise in time-series forecasting, regression analysis, and machine learning.
  • Experience with data visualization tools like Matplotlib and Seaborn.
  • Knowledge of SQL and experience with cloud data platforms (AWS, GCP).
  • Experience in ad tech or related industries; familiarity with financial modeling and budget optimization techniques.
  • Nice to have: AI Forecasting experience.
Responsibilities:
  • Develop and implement forecasting models for budgeting and advertiser spend predictions.
  • Analyze large datasets to identify trends and optimize forecasting algorithms.
  • Collaborate with product and engineering teams to deliver data-driven insights.
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