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.