Remote
Remote
Mid Level
Full Time
1 day ago
💰€55,000 - €70,000
machine learningpricingremotepythonmlops
Requirements
- •Hands-on production experience building models that optimise pricing decisions such as promotional pricing, demand-based pricing, or personalised pricing with measurable revenue impact
- •Experience modelling willingness to pay, price elasticity, or conversion probability as a function of price, comfortable working with implicit signals and sparse, noisy data
- •End-to-end ML ownership from raw data through feature engineering, training, evaluation, API deployment, and production monitoring
- •Strong Python skills and MLOps fluency including experience with MLflow or similar tools for experiment tracking, model versioning, and lifecycle management
What You'll Do
- •Own and continuously improve Eneba's Featured Offers pricing algorithm from model design through experimentation to production monitoring
- •Build and iterate on willingness-to-pay and price elasticity models using behavioural signals such as purchase history, browsing patterns, session data, and price sensitivity indicators
- •Collaborate with Product and Marketing/Growth to define pricing strategies for promotional campaigns and featured placements
- •Define and track evaluation metrics connecting model output to business KPIs such as revenue per session, conversion rate, margin, and promotional ROI
- •Work with Data Platform and Backend Engineering to ship pricing models as low-latency APIs integrated into live marketplace surfaces
- •Monitor deployed models for data drift, distribution shifts, and degradation; own observability and alerting
- •Contribute pricing-relevant features to the feature store including user price sensitivity signals, historical purchase behaviour, and category-level demand indicators
Nice to Have
- •Experience with bandit algorithms or reinforcement learning for online pricing optimisation
- •Familiarity with causal inference methods like uplift modelling and difference-in-differences for pricing experiments
- •Real-time or streaming inference experience with Kafka, Flink for session-aware pricing
- •Familiarity with Databricks and/or Apache Spark for large-scale data processing
- •Production experience with feature stores such as Databricks Feature Store, Hopsworks, Feast, or similar
- •Background in marketplace economics, auction theory, or game-theoretic pricing
- •Experience with setting up and evaluating A/B tests
- •Strong business communication skills to translate model results and experimental findings into clear, actionable language for product and commercial stakeholders
Benefits
- •Opportunity to join Employee Stock Options program
- •Opportunity to help scale a unique product
- •Various bonus systems including performance-based, referral, additional paid leave, personal learning budget
- •Paid volunteering opportunities
- •Work location of your choice: office, remote, opportunity to work and travel
- •Personal and professional growth supported by well-defined feedback and promotion processes
About Eneba
Eneba is an online platform that offers a marketplace for digital games across various categories.
Kaunas, Lithuania
100 - 250
Gaming