Lead Data Scientist

Job not on LinkedIn

🔥 1 hour ago

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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toogeza

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Toogeza is a recruitment and consultancy firm based in Ukraine, specializing in finding talent and providing recruitment solutions for tech companies. They offer a range of services including recruiting, sourcing, selection, onboarding assistance, auditing and setting up HR processes, and recruitment process outsourcing. Toogeza acts as a partner, deeply integrating into the hiring process by offering market insights and helping create team structures. They provide versatile hiring services for various tech domains, markets, and roles. Their core values include talent, top quality, trust, and tenacity. They serve clients worldwide, helping them find suitable candidates for both technical and leadership roles across different industries and markets.

📋 Description

• Combine hands-on expertise, technical leadership, and product thinking to drive scalable ML solutions • Ensure that developed solutions drive business value • Define processes, standards, scalability, and performance • Collaborate closely with product and business stakeholders to translate complex problems into practical, high-impact solutions • Translate business problems into data science solutions or data analytics research • Define clear success metrics and KPIs • Turn insights into actionable recommendations affecting revenue and player behavior • Align models and analyses with real business outcomes • Design, build, and deploy ML models such as churn prediction, LTV forecasting, revenue uplift, and player segmentation from experimentation through production • Define and implement standardized, scalable data science and data analytics processes • Establish model development lifecycles, code quality, documentation, reproducibility, experimentation, and evaluation frameworks • Improve delivery efficiency and reduce time from idea to 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 in 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 find the story in the data, uncover trends, and explain them in clear business terms • Commercial experience working with large datasets and distributed computing tools such as BigQuery, Spark, Hive, or similar • Solid understanding of experimental design and statistical testing, including A/B testing, hypothesis testing, and confidence intervals • Familiarity with causal inference techniques such as Propensity Score Matching, Instrumental Variables, Difference-in-Differences, uplift modeling, and predictive modeling techniques • English B2+ • Experience in gaming, gambling, fintech, e-commerce, subscription, or other user-behavior-driven products is a plus • Experience with BI tools such as Tableau, Looker, or Power BI is a plus • Product mindset and ability to propose actionable solutions that make an impact is a plus

🏖️ Benefits

• 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 • Work on meaningful data products and shape them with your vision

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