HR Data Analyst / HR ML Engineer

Описание

G5 Games is a Swedish developer and publisher of mobile games played by over 250 million people worldwide. We create large-scale projects, such as Sherlock, Hidden City®, Jewels of Rome®, and continuously improve their technical aspects.

We are currently strengthening our team and looking for a HR Data Analyst / HR ML Engineer who will build HR analytics pipelines and ML models to turn data into insights and support key people decisions. If you are interested in HR data analytics, metrics, and AI/ML solutions for employee retention and development — we’d love to have you on our team!

What You Will Work On:

HR Data Analytics

• Setting up complete and reliable data enrichment & lineage: formulating data collection requests, configuring pipelines, and ensuring data quality.
• Building HR data processing pipelines for metric calculation and dashboard visualization.
• Preparing internal and external analytical reports and presentations for various stakeholders (HR, Management, Board Members, Finance, etc.).
• Developing, describing, and implementing new HR metrics, integrating them into the company’s cohort analysis ecosystem.

Data Science

• Conducting research and experiments in the HR domain (hypothesis testing, A/B testing).

ML Engineering

• Setting up data streams from various HR services and integrating them into a unified HR data ecosystem; consolidating data into a single dataset for AI & ML tasks.
• Designing and deploying AI/ML models for:
  • predicting employee churn,
  • assessing burnout risk,
  • retaining key employees,
  • candidate evaluation and selection,
  • identifying high-potential employees.
• Ensuring reliability and accuracy of ML models, including regular updates and monitoring.

What We Expect:

• Proven experience with Python (pandas, scikit-learn, NumPy).
• Strong SQL skills and understanding of database principles.
• Experience building ETL/ELT pipelines and working with data from multiple services.
• Solid knowledge of statistics and hypothesis testing methods.
• Data visualization skills (Looker, Power BI, or similar tools).
• English proficiency at B2 level or higher.

Would Be a Plus:

• Experience in the HR domain.
• Skills in deep learning frameworks (TensorFlow, PyTorch).
• MLOps skills (Airflow, Docker).
• Experience implementing user retention models.

What We Offer:

• Flexible Work Conditions – Fully remote format with no office restrictions. Convenient flexible schedule and transparent processes.
• Development & Learning – Internal education system that includes workshops, webinars, and hackathons. Compensation for English and other language courses.
• Relocation Support – Financial assistance and guidance at every step, from choosing a country to legalizing your entire family.
• Health & Well-being – Medical insurance and reimbursement for gym memberships. Team sports initiatives to promote a healthy lifestyle.
• Bonus Program – Performance-based bonuses upon meeting sales targets. For key employees—profit-sharing from stock value growth.
• Expert Community – Work alongside top industry professionals. Grow in a dynamic and innovative environment.

We look forward to your application!

We carefully review each application within a week. If your experience and skills match our requirements, we will contact you for further discussion. If there isn’t a suitable position at the moment, we will add you to our talent pool and notify you when a relevant opportunity arises.