Senior Data Scientist, Growth‑Focused ML & Personalization

Jobgether SRL; United States; Remote; USD 175,000 - 218,000; Full time

Benefits offered by this job

RSUs

Medical, dental, vision insurance

401(k) match

Paid parental leave

Remote‑first environment

Flexible paid time off

Job summary

Jobgether SRL in the United States seeks a Lead Data Scientist to drive production ML systems across personalization, experimentation, subscriptions, and advertising. You will collaborate with Product, Engineering, Data Engineering, and MLOps to ship models into user-facing features and shape the ML roadmap.

The role emphasizes causal inference, experimentation, and advanced analytics, mentoring others, and leveraging AI tools to improve data-driven decisions for a 100M+ user base.

Qualifications

• Advanced degree or equivalent experience in a field requiring sophisticated statistics.
• 6+ years building and deploying ML-powered systems to production.
• Strong Python and data tooling experience for production ML.

Responsibilities

• Investigate revenue opportunities and measure impact of product changes.
• Design, deploy, and operate production ML systems for personalization and experiments.
• Collaborate with product, engineering, and MLOps to ship features.
• Establish monitoring and lineage for reliable AI-powered experiences.
• Mentor data scientists and set best practices for analytics and ML development.
• Translate analytical findings into actionable product and revenue strategies.

Skills

Python

scikit-learn

PySpark

causal inference

production ML

MLOps

LLMs/generative AI

communication

Education

Advanced degree in statistics/data science or related field

Tools

Claude Code

AI tooling

Job description

Jobgether SRL in the United States seeks a Lead Data Scientist to drive production ML systems across personalization, experimentation, subscriptions, and advertising. You will collaborate with Product, Engineering, Data Engineering, and MLOps to ship models into user-facing features and shape the ML roadmap.

The role emphasizes causal inference, experimentation, and advanced analytics, mentoring others, and leveraging AI tools to improve data-driven decisions for a 100M+ user base.