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Data Science Engineer I
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About the Role
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.
What You'll Do
- 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).