TL;DR

Sr. Data Scientist, Marketing (AI): Leading AI-driven insights and predictive analytics for enterprise business applications with an accent on Quote-to-Cash, Renewals, Churn & Contraction, and Business Review Automation. Focus on developing predictive models and analytical solutions that enhance revenue forecasting, improve retention strategies, and automate decision-making.

Location: Remote (USA)

Salary: $125,000 - $180,000 per year

Company

%hirify_global% is a global leader in cybersecurity, protecting the people, processes and technologies that drive modern organizations.

What you will do

Develop and implement predictive analytics and machine learning models to optimize business processes.
Work with large-scale enterprise datasets in Snowflake and other Data Lake solutions to extract, clean, and transform data.
Create and deliver insightful data visualizations and dashboards in Tableau to executive teams and functional leaders.
Partner with Sales, Finance, and Customer Success teams to improve forecasting models, sales pipeline analysis, and revenue optimization.
Automate key business review processes using AI and advanced analytics.
Ensure data quality, governance, and compliance in business reporting and 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, Churn & Contraction, and Business Review Automation processes.
Proven ability to communicate and present complex data findings to executive leadership and business stakeholders in a clear, actionable manner.

Nice to have

Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML deployments.
Strong understanding of data governance, compliance, and regulatory reporting.
Experience working in B2B SaaS, Financial Services, or Enterprise Applications is a plus.

Culture & Benefits

Remote-friendly and flexible work culture
Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role

Sr Data Scientist (Marketing)