Data Science Manager OKR Examples

Build and lead a strong multidisciplinary team of data scientists

The goal of this objective is to hire new people and to build a strong data science team

• Finish a gap analysis of who's missing in our team
• Create job descriptions and submit them to HR
• Complete 30 interviews and pick 3 candidates

Develop a new NLP product from concept to release

The goal of this objective is to offload our support team with an automated chat bot

• Test 3 different approaches / libraries
• Run high load POC with the best approach and stay under 300ms response time
• Deploy and report on the performance to the CMO

Create a new sales scoring model for Salesforce

The goal of this objective is to increase the conversion rate from lead to paying customer

• Develop and deploy the new concept for a data lake on AWS
• Demo 3 scoring models to sales for testing
• Complete POC and launch the sales scoring in June

Reduce customer churn by 10%

The objective of this OKR is to reduce customer churn by using the latest AI technologies to identify the reasons for churn and implement strategies to prevent it.

• Implement AI algorithms to identify churn factors
• Develop and implement strategies to prevent churn based on identified factors
• Track and measure the effectiveness of churn prevention strategies

Increase the accuracy of customer churn predictions by 15%

The objective of this OKR is to improve the accuracy of customer churn predictions by using the latest AI technologies.

• Implement AI algorithms to improve churn prediction accuracy
• Conduct regular testing and evaluation of prediction accuracy
• Implement continuous improvement strategies based on evaluation results

Reduce the time required for customer churn analysis by 20%

The objective of this OKR is to increase the efficiency of the customer churn analysis process by using the latest AI technologies.

• Implement AI algorithms to automate churn analysis tasks
• Implement process improvements to streamline the churn analysis process
• Regularly evaluate and optimize the efficiency of the churn analysis process