Redwood Software

The leader in automation fabrics solutions

Data Scientist – AI Engineer

Data ScientistData ScientistFull TimeRemoteTeam 501-1,000Since 1993Company SiteLinkedIn

Location

United States

Posted

10 days ago

Salary

Not specified

Bachelor Degree3 yrs expEnglishNumpyPandasPythonScikit LearnSQL

Job Description

• 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.

Job 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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