Job Description

JD:

• Apply data science and machine learning for the end-to-end development and deployment of data-driven insights.
• Collaborate with and understand the needs of stakeholders from a variety of business functions.
• Work closely with Product, Sales and Engineering functions and with the Marketing and Finance organizations.
• Have strong coding skills in general purpose languages like Python and SQL, and familiarity with software engineering principles around testing, code reviews and deployment.
• Shape the direction of key data science areas, including segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights.
• Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data-driven decisions, recommendations and forecasts.
• Understand deployment patterns, NLP and ML Flows and Operations
• Manage stakeholders for their focus area, including gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience.
• Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review.
• Represent the data science discipline throughout the organization, having a powerful voice to make Kroll more data driven.
• Build self-serving internal data products to make data simple within the company.

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