Lead Data Scientist

This is a fully remote position, open to applicants in Europe.

📋 Description

• Leverage hands-on expertise, technical leadership, and product insight to develop scalable machine learning solutions.

• Ensure that the solutions implemented create significant business value.

• Establish processes, standards, scalability, and performance metrics.

• Collaborate effectively with product and business stakeholders to convert complex challenges into actionable, impactful solutions.

• Transform business challenges into data science solutions or analytical research.

• Set clear success metrics and key performance indicators (KPIs).

• Convert insights into practical recommendations that influence revenue and player behavior.

• Ensure alignment of models and analyses with actual business outcomes.

• Design, construct, and deploy machine learning models, including churn prediction, LTV forecasting, revenue uplift, and player segmentation, from experimentation to production.

• Define and execute standardized, scalable processes for data science and data analytics.

• Establish model development lifecycles, maintain code quality, ensure proper documentation, and create frameworks for reproducibility, experimentation, and evaluation.

• Enhance delivery efficiency and minimize the time required to move from concept to production.

• Identify and capitalize on 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 discipline.

• Over 5 years of experience in a Senior Data Scientist or Lead role, managing both analytical and data science projects.

• Proficient in SQL and Python.

• Experience handling large datasets, utilizing notebooks for reproducible analysis, and employing Git-based workflows.

• Strong foundation in machine learning, statistics, experimental design, A/B testing, holdout evaluation, and business KPI analysis.

• Practical experience in predictive modeling, classification, segmentation, forecasting, model evaluation, and assessing business impacts.

• Familiarity with churn, uplift, LTV, retention, campaign analytics, or user behavior modeling is highly advantageous.

• Possess a strong analytical and problem-solving aptitude; capable of deriving narratives from data, identifying trends, and articulating them in straightforward business language.

• Commercial experience with large datasets and distributed computing platforms such as BigQuery, Spark, Hive, or similar technologies.

• Strong grasp of experimental design and statistical testing, including A/B testing, hypothesis testing, and confidence intervals.

• Knowledge of causal inference methods such as Propensity Score Matching, Instrumental Variables, Difference-in-Differences, uplift modeling, and predictive modeling techniques.

• Proficient in English at B2+ level.

• Experience in gaming, gambling, fintech, e-commerce, subscription services, or other products driven by user behavior is a plus.

• Familiarity with business intelligence tools like Tableau, Looker, or Power BI is also a plus.

• Possess a product-oriented mindset with the ability to propose actionable solutions that generate impact is an added advantage.

🏝️ Benefits

• 25 vacation days, 15 sick days, and 1 birthday leave.

• Budget allocated for English language classes.

• Health insurance budget available.

• Annual budget for education and development opportunities.

• A remote-friendly culture within a small, dedicated team.

• Opportunity to work on meaningful data products and influence their direction with your vision.