Transform revenue data into AI-powered intelligence for decision-making.
Lead application of advanced analytics, machine learning, and generative AI.
Conduct in-depth analysis on sales cycles, conversion rates, and customer churn.
Leverage AI to generate insights and improve analytical depth.
Translate AI-derived data findings into concise narratives for stakeholders.
Perform ad-hoc, AI-assisted data analysis to support strategic initiatives.
Apply advanced statistical methods and machine learning to forecast revenue.
Design, develop, and deploy AI-driven predictive models.
Collaborate with stakeholders to define business problems into AI solutions.
Continuously evaluate and refine models for accuracy, fairness, and impact.

Bachelor's degree in Business Analytics, Data Science, Statistics, Computer Science, Economics, or a related quantitative field. Master's degree preferred.
3+ years of experience in a data science role, preferably within a Revenue Operations or Sales Operations function at a B2B software company.
Proven experience with CRM systems (e.g., Salesforce) and marketing automation platforms.
Strong experience with SQL for data extraction, manipulation, and analysis.
Experience with statistical analysis and predictive modeling using Python (pandas, numpy, scikit-learn)
Experience using AI-assisted analytics tools (LLM copilots, automated feature engineering, AutoML, etc.)
Ability to design AI workflows that accelerate decision-making with tools like Claude Code, ChatGPT and Gemini

Data Scientist – AI Engineer

Key skills