Developing and implementing machine learning models
Performing advanced data analysis
Identifying patterns and trends to improve efficiency and usability of products and services
Creating insightful reports and dashboards to support data-driven decision-making across the organization
Working with stakeholders to identify key metrics and opportunities for improving business processes
Developing and implementing machine learning models, including feature engineering, model design, training, and deployment
Performing data mining, exploration, and statistical analysis to uncover trends and actionable insights
Creating data visualizations, reports, dashboards, and performing data audits
Leveraging predictive models to optimize customer experiences and drive business outcomes
Creating automated anomaly detection systems to monitor and ensure data quality and operational performance

Bachelor's degree in Data Science, Computer Science, or a related field
Master’s degree or Ph.D. in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering
6+ years of experience working in Data Science, preferably within a Software organization
Experience with financial fraud detection and prevention is a major advantage
Advanced proficiency in Python for data science and machine learning applications
Proficiency in SQL for data extraction and analysis
Strong experience with data visualization tools such as PowerBI and Tableau
Expertise in data mining, statistical modeling, and machine learning
Familiarity with cloud-based infrastructure, preferably Azure
Understanding of Java is a plus

Outseer is committed to the principle of equal employment opportunity for all employees
Work environment free of discrimination and harassment
Encourages applicants of all ages

Senior Data Scientist I/II

Key skills