Data Science Engineer

Overview

We are seeking a Data Science Engineer I to join our team and work with large-scale fintech data. In this role, you’ll apply advanced analytics and machine learning to uncover insights, build intelligence into our platforms, and enable smarter decision-making. You’ll gain hands-on experience with real-world data challenges while collaborating with product and engineering teams.

• Research and develop statistical models and machine learning algorithms.
• Clean, validate, and organize complex datasets for accuracy and consistency.
• Build scalable data pipelines and analytics workflows.
• Analyze and visualize trends to drive actionable insights.
• Collaborate with developers to deploy models into production.
• Communicate findings and recommendations to stakeholders.

• Master’s degree in quantitative field (Computer Science, Mathematics, Statistics, Engineering, Economics, etc.).
• 0–2 years of experience in data science (internships and research welcome).
• Proficiency in Python and SQL.
• Strong knowledge of machine learning algorithms (Regression, SVM, Random Forests, Clustering, etc.).
• Familiarity with Git and basic software development practices.
• Excellent communication, curiosity, and problem-solving skills.

• Experience with big data systems (HPCC, Hadoop, or Spark).
• Exposure to cloud platforms (AWS, GCP, Azure).
• Familiarity with visualization tools (Tableau, Kibana, Power BI, or matplotlib/Plotly).

• Entry level

• Full-time

• Information Technology

• Software Development

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