Remote Lead Data Scientist: ML Solutions for Growth

Toogeza; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Remote-friendly

25 Vacation days

English classes

Health insurance

Education budget

Job summary

SpinLab is seeking a Lead Data Scientist to guide the development of scalable ML solutions. You will work across product and business teams to translate complex problems into practical data-driven strategies with measurable impact.

In this remote-friendly role, you will lead analytics initiatives, set standards for modeling, experimentation, and delivery, and mentor a growing team of data scientists in a fast-paced gaming data environment.

Qualifications

• Bachelor's or Master's in a quantitative field (Statistics, CS, Economics, etc).
• 5+ years in senior/lead data science roles with analytics leadership.
• Strong SQL and Python, experience with large datasets and reproducible analysis.
• Solid ML knowledge, experimentation design, and KPI analysis.

Responsibilities

• Translate business problems into scalable ML/data science solutions with measurable impact.
• Define success metrics, KPIs, and drive data-driven decisions and revenue growth.
• Build, deploy, and monitor models (e.g., churn, LTV) from experiment to production.
• Establish scalable DS/DA processes and ensure code quality, doc, and reproducibility.
• Collaborate with product and business teams to align analytics with outcomes.
• Lead and mentor teammates, shaping best practices in the DS group.

Skills

SQL

Python

ML/Statistics

A/B testing

KPI analysis

Problem solving

Team leadership

Education

Bachelor's or Master's degree

Tools

BigQuery

Spark

Hive

Job description

SpinLab is seeking a Lead Data Scientist to guide the development of scalable ML solutions. You will work across product and business teams to translate complex problems into practical data-driven strategies with measurable impact.

In this remote-friendly role, you will lead analytics initiatives, set standards for modeling, experimentation, and delivery, and mentor a growing team of data scientists in a fast-paced gaming data environment.