Lead Data Scientist

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

Currently, we are looking for a Lead Data Scientist for SpinLab.

Location: Remote
Job Type: Full-Time

ABOUT OUR CLIENT

Spinlab helps slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. The company collects and processes data using advanced methods and technologies to provide clients with clear, actionable recommendations based on real metrics. SpinLab’s goal is not just to collect data but to help businesses use it for maximum efficiency and amplify their performance results.

Role Overview

As a Lead Data Scientist, you will combine hands-on expertise, technical leadership, and product thinking to drive the development of scalable ML solutions.

You will play a key role in

• Ensuring what we build drives business value
• Defining how we build (processes, standards, scalability, performance)

This role requires close collaboration with product and business stakeholders to translate complex problems into practical, high-impact solutions.

Responsibilities

• Work closely with product and business teams to:
• Translate business problems into data science solutions or data analytics researches
• Define clear success metrics and KPIs
• Turn insights into actionable recommendations that impact revenue and player behavior
• Ensure all models and analyses are aligned with real business outcomes, not just technical performance
• Design, build, and deploy ML models (e.g., churn prediction, LTV forecasting, revenue uplift, player segmentation) from experimentation to production.
• Define and implement standardized, scalable DS/DA processes across the team:
• Model development lifecycle (design validation production)
• Code quality, documentation, and reproducibility
• Experimentation and evaluation frameworks
• Continuously improve delivery efficiency, reducing time from idea production
• Identify opportunities to automate manual analytical workflows using AI/ML

Requirements

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science,Economics, or a related quantitative field.
• 5+ years of experience as a Senior Data Scientist role/Lead role, leading both analytical and data science domain work.
• Strong SQL and Python skills; experience with large datasets, notebooks, reproducible analysis, and Git-based workflows.
• Solid knowledge of ML, statistics, experimental design, A/B testing, holdout evaluation, and business KPI analysis.
• Commercial experience with predictive modeling, classification, segmentation,forecasting, model evaluation, and business impact measurement.
• Experience with churn, uplift, LTV, retention, campaign analytics, or user behaviormodeling is a strong advantage.
• Strong analytical and problem-solving mindset; ability to find the story in the data:uncovering trends and explaining them in clear business terms.
• Commercial Experience working with large datasets and distributed computing tools(BigQuery, Spark, Hive, or similar).
• Solid understanding of experimental design and statistical testing (A/B testing,hypothesis testing, confidence intervals).
• Familiarity with causal inference techniques (e.g., Propensity Score Matching, Instrumental Variables, Difference-in-Differences, uplift modeling), and predictivemodeling techniques.
• English B2+

Will be a plus

• Experience in gaming, gambling, fintech, e-commerce, subscription, or other user-behavior-driven products.
• Experience with BI tools such as Tableau, Looker, or Power BI.
• Product mindset: the ability to go beyond numbers and propose actionable solutionsthat make an impact.

Benefits

• Work on meaningful data products and shape them with your vision.
• 25 vacation days + 15 sick days + 1 birthday leave.
• Budget for English classes.
• Budget for health insurance.
• Annual education & development budget.
• Remote-friendly culture with a small, dedicated team.