TL;DR

Senior Data Scientist (AI): Leading AI-driven insights and predictive analytics for enterprise business applications, focusing on critical processes like Quote-to-Cash, Renewals, and Churn. Focus on developing predictive models, leveraging large-scale enterprise data, and translating complex insights into actionable recommendations for executive leadership.

Location: Remote from the U.S.

Salary: $125,000–$180,000 per year

Company

%hirify_global% is a global leader in cybersecurity, protecting modern organizations with the world’s most advanced AI-native platform.

What you will do

Develop and implement predictive analytics and machine learning models for business processes (Quote-to-Cash, Renewals, Churn).
Work with large-scale enterprise datasets in Snowflake and other Data Lake solutions.
Create and deliver insightful data visualizations and dashboards in Tableau.
Present data findings and predictive model insights to business leaders and key stakeholders.
Partner with Sales, Finance, and Customer Success teams to improve forecasting and revenue optimization.
Automate key business review processes using AI and advanced analytics.

Requirements

10+ years of experience in data science, predictive analytics, and AI for business applications.
Expertise in Python, R, or SQL for data manipulation, statistical modeling, and machine learning.
Hands-on experience with Snowflake or other cloud-based Data Lake solutions for enterprise data processing.
Strong proficiency in Tableau for data visualization and reporting.
Strong understanding of business processes such as Quote-to-Cash, Renewals, and Churn & Contraction.
Proven ability to communicate and present complex data findings to executive leadership.

Nice to have

Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML deployments.
Experience working in B2B SaaS, Financial Services, or Enterprise Applications.

Culture & Benefits

Remote-friendly and flexible work culture.
Competitive compensation, equity awards, and comprehensive physical and mental wellness programs.
Competitive vacation and holidays, plus paid parental and adoption leaves.
Professional development opportunities for all employees.
Employee Networks and volunteer opportunities to build connections.