Data Scientist (Machine Learning)

Location: Remote, Eastern Europe

Company

hirify.global is a global technology services and consulting company with more than 17,000 employees, delivering software solutions, digital products, infrastructure, consulting, IT outsourcing, and implementation services across private and public sectors.

What you will do

• Design and implement data science solutions across the project lifecycle.
• Analyze large-scale datasets to identify trends, anomalies, and actionable insights.
• Develop and optimize machine learning models, predictive modeling workflows, and feature engineering pipelines.
• Collaborate with Product, Engineering, Customer Success, customers, and external partners to translate business requirements into technical solutions.
• Lead data science activities for customer implementations, pilots, and production deployments.
• Deliver training and knowledge transfer while supporting data-related and analytical issue resolution.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative field.
• 2+ years of experience in Data Science, Data Engineering, Machine Learning, or Big Data development.
• Strong programming skills in Python and experience with PySpark.
• Hands-on experience with large-scale data processing frameworks and machine learning pipelines.
• Experience with ML lifecycle and workflow management tools such as MLflow, Airflow, or similar platforms.
• Strong analytical, problem-solving, and statistical modeling skills.
• Ability to communicate complex technical concepts to technical and non-technical audiences.

Nice to have

• Experience in financial services, fraud detection, risk analytics, compliance, or transaction monitoring.
• Familiarity with cloud-based data and machine learning environments.
• Experience investigating anomalies and extracting insights from high-volume datasets.
• Knowledge of machine learning model deployment and monitoring best practices.
• Experience working directly with customers or external stakeholders.

Culture & Benefits

• Remote, full-time role with an intermediate level of responsibility.
• Work with a global team on meaningful technical initiatives and advanced technology projects.
• Collaborative, inclusive environment focused on innovation, continuous learning, and professional growth.
• Competitive compensation and benefits, with career development opportunities.