Data Scientist - Sales Operations and GTM
Summary
Build predictive models for territory planning and quota optimization in a B2B SaaS org, using SQL, Python, and statistical techniques to analyze sales performance and guide GTM strategy.
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
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.
- 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.
- 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.
- 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.
- 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.