Data Scientist

This is a fully remote position, open to applicants in Europe.

📋 Description

• Design and execute data science solutions throughout all phases of the project lifecycle.

• Examine extensive and intricate datasets to uncover trends, anomalies, and actionable insights.

• Create and refine machine learning models along with advanced analytics workflows.

• Conduct feature engineering and data preparation for predictive modeling projects.

• Work collaboratively with Product, Engineering, and Customer Success teams to convert business requirements into technical solutions.

• Oversee the data science components of customer implementations, pilot programs, and production rollouts.

• Establish robust technical relationships with customers and external partners.

• Offer suggestions to enhance products, algorithms, and analytical capabilities.

• Provide training and facilitate knowledge transfer to end users and stakeholders.

• Assist in the investigation and resolution of data-related and analytical challenges.

⛳️ Requirements

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline.

• Minimum of 2 years of experience in Data Science, Data Engineering, Machine Learning, or Big Data development.

• Proficient programming skills in Python.

• Experience with PySpark.

• Practical experience with large-scale data processing frameworks and machine learning pipelines.

• Familiarity with ML lifecycle and workflow management tools like MLflow, Airflow, or equivalent platforms.

• Strong analytical, problem-solving, and statistical modeling capabilities.

• Ability to convey complex technical concepts to both technical and non-technical audiences.

• Experience interacting directly with customers or external stakeholders is advantageous.

• Background in financial services, fraud detection, risk analytics, compliance, or transaction monitoring is preferred.

• Knowledge of cloud-based data and machine learning environments is preferred.

• Experience in investigating anomalies and deriving insights from high-volume datasets is preferred.

• Understanding of best practices for machine learning model deployment and monitoring is preferred.

🏝️ Benefits

• Competitive salary and benefits package.

• Meaningful opportunities for career development.

• A diverse and inclusive workplace culture.

• Emphasis on collaboration, continuous learning, and growth.

• Chance to work with a talented global team.

• Engagement in significant technical initiatives.

• Opportunities for training and knowledge transfer.