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. 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. What We’re Looking For 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. Nice to Have 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). Seniority level Entry level Employment type Full-time Job function Information Technology Industries Software Development Referrals may increase your chances of interviewing at DataSeers. Sign in to set job alerts. #J-18808-Ljbffr DataSeers