Collaborate with multidisciplinary teams to analyze large datasets for evaluating and enhancing products, services, and customer programs.
Design, test, and implement data-driven solutions including reporting, auditing, and preparing databases for statistical analysis.
Build and deploy machine learning algorithms to develop predictive models that improve customer experience and business outcomes.
Create visualizations and reports to communicate insights effectively to stakeholders.
Monitor and optimize model performance, ensuring data accuracy and reliability in production environments.
What's Needed?
Bachelor’s Degree in Computer Science, Statistics, Mathematics, Data Science, or a related field; Master’s degree preferred.
At least 3 years of hands-on experience as a Data Scientist, with proven expertise in machine learning and statistical analysis.
Strong skills in Python, SQL, and database management.
Experience working with data architectures and visualization tools such as OBIEE or Tableau; additional experience with QlikSense or Power BI is a plus.
Excellent communication skills and the ability to manage multiple projects independently