अय्यूब
भागीदारभोजनात्
Data Scientist
अनुरोधेन मूल्यम्
विवरणम्
- रोजगार प्रकार
- पूर्णकालिक
- दूरस्थः
- न
- कम्पनी
- Almedia
वर्णनम्
This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000).
We are building the future of marketing by rewarding our community of over 95 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.
Berlin, On-site
Top-of-Market Compensation - Exceptional commitment deserves exceptional reward
Most data scientists transition from research or academic work to production starting with dashboards and historical reporting. Here, you'll ship models that run live and shape what millions of users see every day. You'll take the rigor you've built in research and apply it to problems at scale. Your first 12 months compress what takes 3 years elsewhere.
You'll join a small team of people who have built and shipped ML systems at scale. You'll work on real problems from week one with the support to solve them. Show us you can own more, and we'll give you more.
What You'll Do
• Build and ship models that predict user value, engagement, and reward behaviour. See them live in production.
• Design and run A/B tests on offers, rewards, and ranking. Work out what actually caused the result through causal reasoning.
• Build data infrastructure and measurement systems that let you reason rigorously about impact.
• Own undefined product problems from first idea to production. No playbook. You own it all.
What You'll Bring
• Strong Python and SQL. You use AI tools to move faster, and you still verify the output.
• Research or academic background with proof of depth: published work, thesis, strong coursework, or competition results.
• You get going on a vague problem without waiting for a spec, and you take it further than you were asked.
• You quickly see which number matters and which question to answer first.
• You think in causation and testable hypotheses. You debug rigorously when things break.
• Bonus: Kaggle competition results, published papers, thesis work, or a system you built and hardened yourself.
Why Almedia
• Grow at Almedia: profitable from launch, higher revenue per employee than Big Tech.
• Sharp, small team: we keep it small on purpose, every hire raises the bar.
• Equity: every Berlin employee gets a stake.
• Top-of-market baseline. Deliver outlier impact, earn accordingly.
Small team, high bar. Growing at scale. If that sounds like home, apply.
We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
Compensation: €80K – €150K • Exceptional commitment deserves exceptional reward
• • €80K – €150K • Exceptional commitment deserves exceptional reward
Find Jobs in Germany on Arbeitnow
Source: Arbeitnow (https://www.arbeitnow.com/jobs/companies/almedia/data-scientist-berlin-51916)
We are building the future of marketing by rewarding our community of over 95 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.
Berlin, On-site
Top-of-Market Compensation - Exceptional commitment deserves exceptional reward
Most data scientists transition from research or academic work to production starting with dashboards and historical reporting. Here, you'll ship models that run live and shape what millions of users see every day. You'll take the rigor you've built in research and apply it to problems at scale. Your first 12 months compress what takes 3 years elsewhere.
You'll join a small team of people who have built and shipped ML systems at scale. You'll work on real problems from week one with the support to solve them. Show us you can own more, and we'll give you more.
What You'll Do
• Build and ship models that predict user value, engagement, and reward behaviour. See them live in production.
• Design and run A/B tests on offers, rewards, and ranking. Work out what actually caused the result through causal reasoning.
• Build data infrastructure and measurement systems that let you reason rigorously about impact.
• Own undefined product problems from first idea to production. No playbook. You own it all.
What You'll Bring
• Strong Python and SQL. You use AI tools to move faster, and you still verify the output.
• Research or academic background with proof of depth: published work, thesis, strong coursework, or competition results.
• You get going on a vague problem without waiting for a spec, and you take it further than you were asked.
• You quickly see which number matters and which question to answer first.
• You think in causation and testable hypotheses. You debug rigorously when things break.
• Bonus: Kaggle competition results, published papers, thesis work, or a system you built and hardened yourself.
Why Almedia
• Grow at Almedia: profitable from launch, higher revenue per employee than Big Tech.
• Sharp, small team: we keep it small on purpose, every hire raises the bar.
• Equity: every Berlin employee gets a stake.
• Top-of-market baseline. Deliver outlier impact, earn accordingly.
Small team, high bar. Growing at scale. If that sounds like home, apply.
We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
Compensation: €80K – €150K • Exceptional commitment deserves exceptional reward
• • €80K – €150K • Exceptional commitment deserves exceptional reward
Find Jobs in Germany on Arbeitnow
Source: Arbeitnow (https://www.arbeitnow.com/jobs/companies/almedia/data-scientist-berlin-51916)
इयं सूचीः भागीदार-फीड्-तः आगच्छति । स्रोतजालस्थले आवेदनं कुर्वन्तु।
स्रोतः: Almedia
स्थानम्
बर्लिन, जर्मनीदेशः
Almedia द्वारा प्रदत्तं सूचीकरणम्।
