TL;DR

Senior Data Scientist (Data Science): Leading the development of predictive and attribution models to optimize user acquisition, engagement, and revenue for millions of users with an accent on Customer Lifetime Value (CLTV) and experimentation design. Focus on applying a strong scientific mindset to solve complex business problems, driving strategic decisions, and utilizing SQL and Python for advanced insights.

Location: Berlin. This role requires 5 days a week in the office.

Salary: €85,000–€100,000 annually. Offers Equity and Bonus.

Company

%hirify_global% is Europe’s #3 fastest-growing company, building the future of marketing by rewarding a community of over 60 million users for engaging with advertisers’ products.

What you will do

Lead the development of predictive models, especially for Customer Lifetime Value (CLTV), to identify high-value user segments.
Own the design and analysis of A/B tests and observational causal methods to understand user behavior and measure impact.
Partner with business leaders, including the CEO and marketing managers, to frame complex business challenges and influence strategic decision-making.
Engage in projects improving attribution models and fraud prevention, and provide data-driven recommendations for product features.
Utilize SQL and Python skills to conduct sophisticated data analysis and build robust analytical models.

Requirements

Extensive experience (typically 4+ years) in a data science or advanced analytics role, focusing on business performance and growth metrics.
Proven expertise in predictive modeling (LTV), user segmentation, and experimentation design (A/B testing, causal methods).
Exceptional proficiency in SQL and Python for data manipulation, statistical modeling, and analysis.
Experience collaborating closely with diverse stakeholders from technical teams to business leaders.
Strong business acumen and the ability to simplify complex data requests into actionable solutions.
Must work 5 days a week onsite in Berlin.

Nice to have

A strong scientific mindset and statistical rigor to ensure the integrity of insights.
Flexible and impact-driven, eager to take on diverse projects across the data landscape.
Proactive problem-solver with a strong sense of ownership in a fast-paced startup environment.

Culture & Benefits

All Berlin-based employees participate in a virtual equity program to share in the company's success.
Opportunity to grow alongside a profitable startup.
Work from a fully-stocked modern central Berlin office built for collaboration.
Benefits include transport subsidy, breakfasts and lunches, language learning, and Urban Sports Club.
Benefits are regularly updated based on employee feedback.