Remote Lead Data Scientist ML Leader Driving Growth

Datacontroller Toogeza Ltd.; United States; A distancia; USD 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

25 vacation days + 15 sick days + 1a0

Birthday leave

Budget for English classes

Budget for health insurance

Annual education & development budget

Remote-friendly culture

Descripción de la vacante

SpinLab is seeking a Lead Data Scientist to drive scalable ML solutions with hands-on coding, technical leadership, and product thinking. You will collaborate with product and business teams to translate problems into data science work, define success metrics, and deploy models that impact revenue and player behavior.

Responsibilities include designing scalable DS/DA processes, ensuring production readiness, and advancing experimentation frameworks.

Formación

• 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 or 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 behavior modeling is a strong advantage.
• Strong analytical and problem-solving mindset; ability to tell stories with data and explain trends in business terms.
• Commercial experience working with large datasets and distributed computing tools (BigQuery, Spark, Hive, or similar).
• Familiarity with causal inference techniques (Propensity Score Matching, Instrumental Variables, Difference-in-Differences, uplift modeling) and predictive modeling.

Responsabilidades

• Work closely with product and business teams to translate business problems into data science solutions or data analytics research.
• Define clear success metrics and KPIs.
• Turn insights into actionable recommendations that impact revenue and player behavior.
• Ensure all models and analyses align 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.

Conocimientos

SQL

Python

ML

Statistics

Experiment design

A/B testing

KPIs analysis

Predictive modeling

Churn modeling

LTV forecasting

Retention analytics

User behavior modeling

BigQuery

Spark

Hive

Git

Tableau

Looker

Power BI

Causal inference

Educación

Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field

Herramientas

BigQuery

Spark

Hive

Git

Tableau

Looker

Power BI

Descripción del empleo

SpinLab is seeking a Lead Data Scientist to drive scalable ML solutions with hands-on coding, technical leadership, and product thinking. You will collaborate with product and business teams to translate problems into data science work, define success metrics, and deploy models that impact revenue and player behavior.

Responsibilities include designing scalable DS/DA processes, ensuring production readiness, and advancing experimentation frameworks.