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Principal Data Scientist, Statistical Analysis - AdTech

  • Job
    Full-time
    Senior Level
  • Data
    Research & Development
  • Berlin

AI generated summary

  • You need advanced statistical expertise, causal inference knowledge, data exploration skills, Python and SQL proficiency, domain experience in advertising/economics, and strong communication skills.
  • You will analyze market behavior with precision, using advanced methodologies to uncover patterns and inform strategies for improved outcomes in a competitive environment.

Requirements

  • What you need to be successful
  • Advanced Statistical Expertise: Mastery of probability, Bayesian inference, hypothesis testing, and experimental design.
  • Causal Inference Knowledge: Proficiency in statistical methods to determine causality such as propensity score matching, synthetic control, and structural equation modeling.
  • Data Exploration Skills: Extensive experience with exploratory data analysis and uncertainty quantification and understanding.
  • Computational Proficiency: Strong programming skills in Python and SQL, with experience in data and statistical libraries (eg Pandas and statsmodels).
  • Domain Knowledge: Experience with applying statistical methods to real-world problems in fields such as advertising or economics.
  • Communication Skills: Proven ability to translate complex statistical insights into actionable recommendations for diverse stakeholders.

Responsibilities

  • Bring a statistician’s precision to the study of market behaviour, using cutting-edge methodologies to reveal hidden patterns and drive impactful, informed decision
  • Your work will anchor strategy with scientific rigour, fostering better outcomes for all stakeholders in this complex, competitive ecosystem.

FAQs

What is the job title for this position?

The job title for this position is Principal Data Scientist, Statistical Analysis - AdTech.

What is the primary focus of the Ad Tech Data Science team?

The primary focus of the Ad Tech Data Science team is to elevate the organization’s understanding of ad market dynamics through rigorous statistical analysis, advanced econometrics, and data-driven insights.

What qualifications are required for this role?

The role requires advanced statistical expertise, knowledge of causal inference, data exploration skills, computational proficiency in Python and SQL, relevant domain knowledge, and strong communication skills.

Do we require experience in specific fields?

Yes, experience in applying statistical methods to real-world problems in fields such as advertising or economics is required.

What programming languages and tools should candidates be proficient in?

Candidates should have strong programming skills in Python and SQL, along with experience in data and statistical libraries such as Pandas and statsmodels.

Are there specific methodologies that candidates should be familiar with?

Yes, candidates should be familiar with methodologies for causal inference such as propensity score matching, synthetic control, and structural equation modeling.

What are some nice-to-have qualifications for this position?

Nice-to-have qualifications include experience developing statistical models for market regulation or policy impact analysis, familiarity with advanced experimental design in marketplace contexts, and research contributions or publications in marketplace dynamics or ad markets.

Where is the company headquartered?

The company is headquartered in Berlin, Germany.

How many days of holiday do employees receive?

Employees receive 27 days of holiday, with an extra day on their 2nd and 3rd years of service.

Is there an educational budget for employees?

Yes, there is a €1,000 educational budget for employees to support their development and career growth opportunities.

What health benefits do employees receive?

Employees receive health checkups, meditation, yoga, gym and bicycle subsidies as part of health benefits.

Are there opportunities for collaboration in the office?

Yes, employees are encouraged to make the most of the hybrid working model and join the team for face-to-face connection and collaboration in the Berlin campus 2 days a week.

Does the company promote diversity and inclusion?

Yes, the company believes that diversity and inclusion are key to creating an exciting product and an amazing customer and employee experience, and it does not discriminate based on any identity or status.

How does the company support employees' financial well-being?

The company supports employees' financial well-being through an Employee Share Purchase Plan, Sabbatical Bank, public transportation ticket discounts, life and accident insurance, and a corporate pension plan.

We build, We deliver, We lead.

Technology
Industry
10,001+
Employees

Mission & Purpose

As the world’s leading local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.