Senior Data Scientist

Job not on LinkedIn

🕒 September 16

🌏 Anywhere in the World

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 23%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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KIMARU Talent

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

📣 Marketing

🎯 Recruiter

Consulting • Marketing • Recruitment

KIMARU Talent is a recruitment firm specializing in high-touch recruitment services for gaming studios and tech startups. They offer a variety of recruitment services including container search, retained search, contingent search, and recruitment operations consultation. KIMARU Talent partners with tech companies, ranging from Series-A startups to public companies, providing expertise in startup recruitment. Founded by Rumiko Matsumoto, the company has extensive experience in the mobile app, gaming, and ad-tech industries. Their focus is on building strong, integrity-centered relationships with clients and candidates, and they work closely with founders and executives to support their recruitment needs as their companies grow.

📋 Description

• Help build and scale a data pipeline handling massive data volumes and over one million predictions per second • Design and run experiments across feature engineering, model optimization, and new ML tooling • Apply classical machine learning to tabular data, NLP, and user embeddings • Contribute to deep learning using feature embeddings and text-based app-description analysis • Collaborate with engineering to refine the data processing pipeline • Introduce AutoML techniques to automate parts of the analysis workflow • Explore data preprocessing methods, build visualizations, and monitor experiments

🎯 Requirements

• 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 • 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

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