Job description
Help us push AI further — and faster
LoopMe’s Data Science team builds production AI that powers real-time decisions for campaigns seen by hundreds of millions of people every day. We process billions of data points daily — and we don’t just re-apply old tricks. We design and deploy genuinely novel machine learning systems, from idea to prototype to production.
You’ll join a high-trust team that has a 5-star Glassdoor rating led by Leonard Newnham, where your work moves fast, ships to production, and makes measurable impact.
What you’ll do:
- Design, build, and run large-scale ML pipelines that process terabytes of data
- Apply a mix of supervised learning, custom algorithms, and statistical modelling to real-world problems
- Ship production-grade Python code that’s clear, documented, and tested
- Work in small, agile squads (3–4 people) with DS, ML, and engineering peers
- Partner with product and engineering to take models from idea → production → impact
- Work with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse and more
What you bring:
- Bachelor’s degree in Computer Science, Maths, Engineering, Physics or similar (MSc/PhD a plus)
- 4+ years’ commercial Python experience
- Track record building ML pipelines that handle large-scale data
- Excellent communication skills — comfortable working across time zones
- A curious, scientific mindset — you ask “why?” and prove the answer
Bonus if you have:
- Experience with adtech or real-time bidding
- Agile / Scrum experience
- Knowledge of high-availability infrastructure (ElasticSearch, Kafka, ClickHouse)
- Airflow expertise
About the Data Science Team:
We’re 17 ML engineers, data scientists, and data engineers, distributed across London, Poland, and Ukraine — acting as one team, not a satellite office.
What sets us apart:
- Led by an experienced Chief Data Scientist who codes, leads, and listens
- Inclusive, supportive culture where ideas are heard and people stay
- Strong values: open communication, continual innovation, fair treatment, and high standards
- Track record of publishing award-winning research in automated bidding
Don’t just take our word for it — check our Glassdoor reviews (search “Data Scientist”) for a real view of the culture.
About LoopMe:
LoopMe was founded to close the loop on brand advertising. Our platform combines AI, mobile data, and attribution to deliver measurable brand outcomes — from purchase intent to foot traffic. Founded in 2012, we now have offices in New York, London, Chicago, LA, Dnipro, Singapore, Beijing, Dubai and more.
What we offer:
- Competitive salary + bonus
- Billions of real-world data points to work with daily
- Flexible remote/hybrid options
- Learning budget and career growth support
- Friendly, transparent culture with strong leadership
Hiring process:
- Intro with Talent Partner
- 30-min technical interview with Chief Data Scientist
- Panel with 2 team members (technical, culture & collaboration)
- Offer – usually within 48 hours of final round
Are you ready to design and deploy AI systems that run at truly massive scale?
