Transform revenue data into AI-powered intelligence that drives smarter, faster, and more predictive decision-making across the business.
Lead the application of advanced analytics, machine learning, and generative AI to uncover patterns in sales performance, customer behavior, and revenue dynamics.
Build scalable predictive models and embed AI into revenue workflows to help forecast growth, reduce churn, optimize sales strategies, and identify high-value opportunities.
Directly influence executive decision-making, accelerate insight generation, and position AI as a core driver of measurable business impact across the revenue organization.
Conduct in-depth analysis of sales cycles, conversion rates, customer churn, and other revenue-driving activities using advanced AI-powered analytics tools and large-scale data processing techniques.
Leverage generative AI, machine learning platforms, and automated analytics solutions to accelerate insight generation and improve analytical depth and speed.
Translate complex, AI-derived data findings into clear, concise, and compelling narratives for various stakeholders.
Identify opportunities where AI can create measurable business impact and collaborate with stakeholders to define business problems and translate them into AI-powered data science solutions.

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