Senior Data Scientist
KIMARU Talent · Remote (Global) ·
- Work mode
- Remote
- Seniority
- Senior
- Category
- Data science
- Experience
- 4+ years
KIMARU Talent · Remote (Global) ·
AutoScout24 · Munich (Germany)
KOMOJU · Musashino, Tokyo, Japan
AutoScout24 · Munich (Germany)
Fully remote Senior Data Scientist for a global ad-tech company (sourced via KIMARU Talent) that runs a real-time bidding platform. Day to day: building and scaling ML data pipelines, running experiments on feature engineering and model optimization (XGBoost, embeddings, NLP), and bringing in AutoML, using Python, SQL, Spark, and AWS tooling.
About KIMARU Talent:
KIMARU Talent is a boutique executive search firm working with startups and growth-stage companies in AI, gaming, technology, and advertising. We take on fewer clients so we can go deeper on each search — real understanding of the role, the team, and what "yes" looks like for both sides.
We're not generalists who'll take any search. We focus on leadership and critical individual-contributor hires — the roles where getting it right changes the trajectory of the startup.
That depth is why most long-term clients give us access to their ATS, Slack, and internal comms. We're not a vendor you check in with weekly. We operate like an internal recruiter with an external network.
Summary:
Our client is a well-established, global tech company in the ad-tech space, with machine-learning-based products spanning mobile DSP, retargeting, and CTV. With a global presence, the company has spent the past decade building a fast-moving, real-time bidding platform that helps some of the world's top mobile app publishers acquire valuable users at scale.
They are looking for a Senior Data Scientist to join their growing data science team, working fully remotely as they continue to scale all of their solutions.
What you'll do:
Help build and scale a data pipeline that handles massive volumes of data — the platform already calculates over a million predictions every second, and that number keeps growing
Design and run experiments across feature engineering, model optimization, and evaluating new ML tooling for the pipeline
Tackle a wide range of problems, from classical machine learning on tabular data to NLP and generating embeddings for millions of users, all aimed at sharpening the predictions that help top app publishers find valuable users
Contribute to deep learning work that pairs feature embeddings with text-based analysis of app descriptions
Collaborate with the engineering team to continuously refine the data processing pipeline
Bring AutoML techniques into the workflow to automate parts of the analysis process
Explore new data preprocessing methods, build visualizations, and monitor experiments as they run
What you'll bring:
4+ years in a data science role
Background in ad-tech, mobile marketing, or gaming is a strong plus
Excellent command of Python, SQL, and Spark
Hands-on expertise with boosted trees and XGBoost
A strong foundation in classical ML, including the math behind it
Comfort with ELK and AWS tools such as S3, Athena, Snowflake, Aerospike, EMR, and SageMaker
Experience working with Docker
Solid understanding of OOP, OOAD, and SOLID design principles
Strong English communication skills for daily collaboration with a global team
Krisvconsulting Services Pte Ltd · Singapore