Nikolai Shikunov
Senior Data Scientist @Delivery Hero SE
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WORK HISTORY
Senior Data Scientist @Delivery Hero SE
Berlin, DE
AdTech / Discounts & Promotions.• Own discount analytics & optimization strategy in vendor-funded deals; build experimentation and decisioning capabilities across markets; partner with Product/Engineering and senior leadership.• Built end-to-end discounts experimentation infrastructure (randomization, tracking, analysis, monitoring) enabling Talabat’s first user-level discount A/B tests and repeatable incrementality measurement at user/vendor level• Led a team of 6 engineers to deliver scalable pipelines and tooling for experiments, data collection, and reporting (engineering-heavy build, previously missing).• Shipped the first vendor discount recommendation service to help restaurants book optimal discount depth/strategy, using causal uplift modeling (two-way fixed effects); defined roadmap toward S-learner + DML iterations.• Identified high-uplift customer segments via clustering + uplift analysis;• Built self-serve analytics & monitoring for discount performance across Delivery Hero entities, improving transparency and reducing time-to-answer for stakeholders. Created a unified promotions data stream across entities for incentives/discounts; implemented automated data quality checks to remove discrepancies and improve reliability of central reporting and decision-making.
EDUCATION
Higher School of Economics
Bachelor's degree, Business informatics & Data Science
ABOUT NIKOLAI SHIKUNOV
Senior Data Scientist (6+ years) specialising in Experimentation, Causal Inference, Machine Learning and Pricing/Promotion Optimisation across food delivery, e-commerce and aviation revenue management.Currently at Delivery Hero (AdTech — Discounts & Promotions), I build 0→1 measurement and decisioning capabilities for vendor-funded deals across markets. I built an end-to-end discounts experimentation platform (randomisation, tracking, analysis, monitoring & data quality) that enabled the first user-level discount A/B tests and repeatable incrementality measurement at both user and vendor level. I led a team of 6 engineers to deliver scalable pipelines and tooling, and shipped Delivery Hero’s first vendor discount recommendation service to help restaurants book optimal discount depth/strategy, using causal uplift modelling (two-way fixed effects) with a roadmap towards S-learner + Double ML. plus premium targeting built from clustering + uplift analysis.Previously, at SberMarket, I led the end-to-end inventory availability / out-of-stock ML system (LightGBM, Docker/Kubernetes, Airflow, Kafka) for 200M+ SKUs across 20k+ stores, validated via switchback experiments:+3% GMV, −53% out-of-stock items,+9% order assembling speed. At Etihad Airways, I delivered demand anomaly detection on flight bookings (LightGBM), reducing overbooking incidents by 7% and enabling analysts with interactive Tableau dashboards.Skills:Data Science & Causal/Experimentation: A/B testing, switchback experiments, incrementality & uplift modeling, twoway fixed effects, S-learner, Double ML (DML), clustering/segmentation, time series forecasting, anomaly detectionML & Python: Python, Statsmodels, scikit-learn, LightGBM, XGBoost, CatBoost, PyTorch, TensorFlow, SciPy, EconML, CausalMLData Engineering: SQL, dbt, PySpark, Airflow, Kafka, Docker, Kubernetes, BigQuery, PostgreSQL, MySQL, ClickHouse, AWS S3Analytics & Visualization: Tableau, Looker, Power BI, Matplotlib, GrafanaI enjoy partnering with Product & Engineering, mentoring teams, and turning messy data into reliable, scalable data products.Recruiter keywords: Staff/Senior Data Scientist, Experimentation Platform, Causal ML, Pricing Science, Growth/AdTech, Marketplace, Promotions, Recommender Systems, Incrementality, ROAS/ROI, Bayesian A/B, CUPED, sequential testing, power analysis, Python/SQL, Spark, Airflow, K8s, AWS/GCP. Also: data quality, monitoring, feature pipelines, mentoring, stakeholder management, roadmaps (B2B/B2C).
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