Data Scientist - Sales Operations and GTM

Data Scientist - Sales Operations (Contract) Location: Remote (US Based) Contract Length: 3 Months Initial Contract Rate: Up to $110 per hour Travel: 2 x 2-3 day trips to San Francisco during the project The Opportunity We're partnering with an innovative B2B SaaS organisation seeking a Data Scientist with strong Sales Operations and GTM Analytics expertise to support a high-impact territory planning and quota optimisation initiative. This is a hands-on contract role focused on developing predictive models that support territory design, quota allocation, and attainment forecasting. The successful consultant will work closely with business stakeholders to create data-driven frameworks that influence strategic sales planning decisions. This engagement is centred around proof-of-concept and modelling work rather than production deployment, making it an excellent opportunity for someone who enjoys solving complex business problems using real-world commercial data. Key Responsibilities Develop attainment models that connect territory composition factors such as account volume, TAM, pipeline, industry mix, geographic distribution, and opportunity potential to historical sales performance. Build predictive quota allocation models that align sales targets with financial plans and historical attainment data. Design and validate territory optimisation methodologies for both Sales and Customer Success organisations. Analyse and model large exported datasets using statistical and data science techniques. Validate model outputs against historical business performance and stakeholder expectations. Partner with business leaders to refine assumptions, test hypotheses, and present recommendations. Document methodologies, assumptions, and modelling approaches to ensure knowledge transfer and future scalability. Present findings and recommendations to senior stakeholders and support decision-making processes. Required Experience Strong background in SaaS Sales Operations, Revenue Operations, GTM Analytics, or Commercial Strategy. Proven experience working with territory planning, quota setting, sales performance, or attainment analysis. Hands-on data science experience applying statistical modelling techniques to complex business datasets. Experience working with imperfect, real-world commercial data rather than purely academic or benchmark datasets. Strong stakeholder management and client-facing communication skills. Ability to operate effectively in fast-moving environments with evolving requirements. Excellent written documentation and presentation skills. Technical Skills Strong SQL and Python (or R) experience. Advanced Excel and Google Sheets capabilities. Experience building predictive models and applying statistical techniques to business problems. Ability to work directly with exported data sources and spreadsheets rather than fully integrated data warehouse environments. Familiarity with model validation, forecasting, and business performance analysis. Nice to Have Experience with territory design, quota planning, or sales compensation programmes. Knowledge of Salesforce data models and CRM reporting structures. Exposure to rules-based, AI-driven, or agentic modelling approaches. Experience working with Customer Success operational datasets. Contract Details Initial 3-month contract. Fully remote engagement. Up to $110/hour. Two short business trips to San Francisco (2-3 days each) during the engagement. Potential for extension based on project requirements and performance.