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Senior Data Scientist

Posted 2024-11-20

View full description

💎 Seniority level: Senior, 2+ years

📍 Location: US

🔍 Industry: Advertising technology

🏢 Company: Sojern

🗣️ Languages: English

⏳ Experience: 2+ years

🪄 Skills: LeadershipPythonSQLData AnalysisNumpyTableauData analysisData sciencePandasCommunication SkillsAnalytical SkillsCollaborationMicrosoft ExcelAttention to detailWritten communication

Requirements:
  • Strong problem-solving and analytical skills to understand business problems, develop hypotheses, and work with large datasets.
  • Intermediate/advanced proficiency level in analytical tools and techniques: SQL expertise, Python proficiency (e.g. pandas, statsmodels, sklearn, numpy), and spreadsheet usage.
  • 2+ years of experience as a data scientist, ideally within the advertising technology ecosystem.
  • Strong understanding of statistical concepts, measurement methods, and causal inference techniques.
  • Effective verbal and written communication skills for collaboration and presenting insights.
  • Curiosity and initiative with a mindset of asking 'why' and proposing impactful ideas.
  • Attention to detail to ensure high quality of delivery in analytical tasks, documentation, and business requirement gathering.
  • MS/PhD in a quantitative discipline or equivalent experience.
Responsibilities:
  • Collaborate across functional teams, including Product Managers, Software Engineers, Analysts, and Scientists to enhance the performance, delivery, and efficiency of Sojern’s AI-driven marketing products.
  • Lead scientific domain in experimentation projects from scoping, test design, implementation, measurement, and insights delivery.
  • Apply statistical analysis, hypothesis testing, quasi-experimental techniques to rigorously evaluate experiments and draw actionable and data-driven conclusions.
  • Communicate findings and recommendations to both technical and non-technical stakeholders to enable faster and more informed decision-making.
  • Identify opportunities to improve methodologies and processes and develop scalable solutions that drive impact.
  • Contribute to data-driven product roadmap and scientific project prioritization.
  • Train and mentor analyst members on scientific methodologies as needed to support team growth.
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