Senior Data Scientist

Kimaru Talent; United States; À distance; USD 140 000 - 190 000; Plein temps

Résumé du poste

KIMARU Talent has partnered with a well-established global tech company in the ad-tech space to hire a Senior Data Scientist for a fully remote role.

You will build and scale a data pipeline handling millions of predictions per second, run experiments, and develop ML across tabular data, NLP, and embeddings.

The ideal candidate has 4+ years in data science, strong Python/SQL/Spark, AWS and Docker, and excellent English communication for a global team.

Qualifications

• 4+ years in a data science role with ad-tech or related fields.
• Strong Python, SQL, and Spark skills.
• Hands-on experience with boosted trees (XGBoost).
• Familiar with AWS tools (S3, Athena, Snowflake, EMR, SageMaker) and ELK.
• Docker experience and solid OOAD/SOLID design principles.
• Excellent English communication for global collaboration.

Responsabilités

• Help build and scale a data pipeline handling millions of predictions per second.
• Design experiments for feature engineering, model optimization, and ML tooling.
• Tackle ML problems from tabular data to NLP and embeddings for millions of users.
• Contribute to deep learning work with embeddings and text-based analysis.
• Collaborate with engineering to refine the data processing pipeline.
• Apply AutoML techniques to automate parts of analysis.
• Explore preprocessing methods, create visualizations, and monitor experiments.

Connaissances

Data science expertise

Strong English communication

Outils

Python

SQL

Spark

Docker

Description du poste

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