Senior Data Scientist (Consumer Core)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (Consumer Core): Solving crucial business problems by diagnosing issues, identifying solutions, designing A/B tests, and influencing decision-making across the customer journey. Focus on operational, actionable data science with experimentation, stakeholder engagement, and building dashboards that drive business outcomes.
Location: Hybrid, at the office, or remote within Berlin, Stockholm, or Helsinki
Company
builds an online delivery platform for (almost) everything, operating across hundreds of cities worldwide.
What you will do
- Dive into data to diagnose business problem areas and identify actionable solutions.
- Design and analyze A/B tests to support product and business decision-making.
- Drive experimentation and translate results into operational actions and business outcomes.
- Partner with product teams and business stakeholders across the full customer journey (browsing, search, in-venue experience, cart, checkout).
- Use AI to accelerate work velocity, automate repetitive tasks, and generate SQL queries and experiment readouts.
- Build intuitive data visualizations and dashboards to influence business decisions.
Requirements
- 5+ years of experience in an analytics or data science role.
- Experience working with product funnels and user journeys.
- Proficiency in SQL and Python.
- Hands-on experience designing and analyzing A/B testing.
- Ability to use AI in daily work to automate tasks and support analysis.
- Experience building data visualizations and dashboards using tools like Tableau, Mixpanel, Looker, or similar.
Culture & Benefits
- Hybrid/office/remote flexibility with location options in Berlin, Stockholm, or Helsinki.
- Ownership-focused culture where data is integrated into how work gets done.
- Operational, actionable data science with close collaboration with product and business partners.
- Challenging analytics environment with real-time geolocation and temporal data.
- Opportunities to build from 0 to 1 and create measurable impact.
Hiring process
- Apply as soon as possible; the role will be filled once the right person is found.
- Interviews and evaluation focused on experience with experimentation, SQL/Python, and stakeholder-driven impact.
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