Data Scientist- AI Engineer
Location: United States (Remote)
Department: Sales
OUR MISSION
At Redwood, we empower our customers with lights-out automation for their mission-critical business processes.
ABOUT US
Redwood Software is the leader in full stack automation fabric solutions for mission-critical business processes. With the first SaaS-based composable automation platform specifically built for ERP, we believe in the transformative power of automation. Our unparalleled solutions empower you to orchestrate, manage and monitor your workflows across any application, service or server — in the cloud or on premises — with confidence and control.
Redwood’s global team of automation experts and customer success engineers provide solutions and world-class support designed to give you the freedom and time to imagine and define your future. Get out of the weeds and see the forest, with Redwood Software.
CORE VALUES
One Team. One Redwood
Make Your Own Weather
Obsess over Customer Success
Work the Problem
Be Curious
Own the Outcome
Respect Each Other
YOUR IMPACT
As the Data Scientist – AI Engineer, you will transform revenue data into AI-powered intelligence that drives smarter, faster, and more predictive decision-making across the business. You will lead the application of advanced analytics, machine learning, and generative AI to uncover patterns in sales performance, customer behavior, and revenue dynamics—turning complex data into clear strategic direction. By building scalable predictive models and embedding AI into revenue workflows, you will help forecast growth, reduce churn, optimize sales strategies, and identify high-value opportunities. Your work will directly influence executive decision-making, accelerate insight generation, and position AI as a core driver of measurable business impact across the revenue organization.
Data Analysis, AI-Driven Insights & Reporting:
●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 to identify trends, opportunities, and areas for improvement.
●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, including executive leadership.
●Perform ad-hoc, AI-assisted data analysis to support strategic initiatives and answer critical business questions, utilizing automation to increase responsiveness and analytical scalability.
Data Science & Predictive Modeling:
●Apply advanced statistical methods, machine learning, and AI techniques (including supervised, unsupervised, and deep learning approaches where appropriate) to forecast revenue, predict customer behavior (e.g., churn risk, upsell potential), and optimize sales strategies.
● Design, develop, and deploy AI-driven predictive models to segment customers, identify ideal customer profiles (ICPs), enhance lead scoring, and automate decision-making processes.
● Utilize AI development frameworks and MLOps best practices to build scalable, production-ready models and continuously improve model performance.
●Collaborate with stakeholders to define business problems and translate them into AI-powered data science solutions, proactively identifying opportunities where AI can create measurable business impact.
●Continuously evaluate, monitor, and refine models for accuracy, fairness, and impact, leveraging automated retraining, experimentation platforms, and model performance tracking.
●Champion the responsible and effective use of AI across revenue analytics, ensuring transparency, governance, and alignment with business objectives.
YOUR EXPERIENCE
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
Additional Skills:
Exceptional analytical and problem-solving skills with a keen eye for detail.
Ability to work independently and collaboratively in a fast-paced environment.
Strong communication and presentation skills, with the ability to explain complex data concepts to non-technical audiences.
Proactive, self-starter with a strong sense of ownership and accountability.
Understanding of sales processes, SaaS business models, and key revenue metrics.
Comfort integrating generative AI (LLMs) into workflows for insight generation, summarization, or automation
If you like growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
THE LEGAL BIT
Redwood is an equal opportunity employer. Redwood prohibits unlawful discrimination based on race, colour, religion, sex, gender identity, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), sexual orientation, pregnancy or any other consideration made unlawful by regional or local laws. We also prohibit discrimination based on a perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics. All such discrimination is unlawful and will have a zero tolerance policy applied to it.
Redwood will comply with all local data protection laws, including GDPR when it comes to the handling and processing of personal data. Should you wish for us to remove your personal data from our recruitment database, please email us directly at [email protected]
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