Position: Principal Data Scientist (Personalisation)
Company: Neurons Lab
Experience required: 5y
Category: Data Science
English level: intermediate
Published: 2022-04-01T00:00:00+03:00

We start with deep data analysis to understand our customers, their objectives, and any issues they might have. We then use various data points and advanced machine learning algorithms, to come up with the best possible option for each client. We experiment, iterate, and build fully automated solutions, based on algorithms that self-improve with time.

**Challenges & responsibilities**

- Research and develop state-of-the-art machine learning solutions for personalization/recommendation systems to enhance business and gaming objectives.
- Build and evaluate machine learning models to improve in-game features and boost product metrics
- Work closely with the customer, data scientists, product owner,  software engineers, and data engineers to deploy, automate, and maintain models seamlessly on production systems.
- Communicate about machine learning models and products to both technical and non-technical audiences.
- Use ML to build a rich, semantic understanding of the various kinds of gaming content

**Skills**

- research and paper analysis
- explanation and presentation
- machine learning and engineering
- advanced English
- documentation development

**Knowledge**

- A track record of original contributions to research communities of ML and AI.
- Experience in the industry of gaming/e-commerce engagement products

**Experience**

- Master’s or Ph.D. with a specialization in **ML and AI.**
- Hands-on experience with one or more of the following: collaborative filtering, user-based, and item-based personalization models, a deep neural network for a recommendation system, transformers for textual analytics, etc.
- Hands-on applied or research experience in **developing machine learning models on a large dataset of user interactions** (view, play activities, purchase, click-through, usage, etc.).
- Design, analyze, and run both simulated and live **Machine Learning experiments** (multi-armed / contextual bandits) to drive KPI improvement
- **Proficient in Python **and experienced in at least one other higher-level programming language like Java, C++, C#, Scala, etc.
- Practical experience with **Tensorflow, Pytorch, or Keras.**

**We Offer
**
- Scientific or engineering challenges
- Work with disruptive deep-tech startups
- Work with the rock-stars (senior-level engineers, PhD)
- Meaningful social and environmental projects
- Two options for our cooperation, and people have the opportunity to make their own choice of how they engage in work-related projects and tasks.
- Transparent, professional growth plan depending on your impact
- Remote work from any location
- Flexible working hours
- Unpaid unlimited PTO
- Regular Team Buildings & company-wide team events