Data Scientist – AI Engineer
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Job Description
Data Scientist transforming revenue data into AI-driven intelligence for smarter business decisions. Leading analytics and machine learning applications to optimize sales strategies and customer behavior.
Responsibilities:
- 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.
Requirements:
- 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
Benefits:
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
- Equipment allowances
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