Collaborate with sales, support, analytics, and development teams to understand customer behavior and identify patterns and trends related to revenue churn.
Collect and integrate data from disparate sources such as Salesforce, proprietary billing systems, Oracle service cloud, and other databases.
Develop and implement predictive models using machine learning and statistical techniques to predict customer churn and revenue loss.
Work with large datasets using SQL and other database systems.
Conduct A/B testing and other experiments to validate and refine models.
Document and present findings and recommendations to the teams

Currently pursuing a Master's degree in Computer Science, Mathematics, Statistics, or a related field
Experience with statistical analysis and modeling techniques
Familiarity with machine learning libraries and frameworks such as scikit-learn, TensorFlow, or PyTorch
Knowledge of database systems and SQL
Experience working with disparate data sets from multiple sources.
Strong problem-solving skills and attention to detail
Ability to work independently and as part of a team.
Excellent communication skills and ability to present findings to non-technical stakeholders.

Preferred Qualifications:

Prior experience with data analysis, predictive modeling, or A/B testing
Familiarity with cloud computing platforms such as AWS, Azure, or GCP
Understanding of software development best practices, including version control and code review

We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Data Scientist Intern

Key skills