Data Scientist

Data Scientist • Remote (Must be US-Based) • 3-Month Contract • $90 Per Hour This is an opportunity to join a high-impact project focused on territory design, quota planning, and GTM analytics within a B2B SaaS environment. You'll play a key role in shaping data-driven models that support commercial decision-making, working closely with stakeholders to deliver practical, evidence-based outcomes. The Company They are a specialist consultancy partnering with organisations to solve complex commercial and operational challenges through data, analytics, and AI. Working closely with client teams, they combine strategic thinking with hands-on delivery to design scalable solutions that improve business performance. Their approach is highly collaborative, with a strong focus on practical outcomes and knowledge transfer. The Role and Deliverables • Build and validate attainment models using historical sales performance and territory composition data. • Develop predictive quota models aligned to financial planning assumptions and historical attainment outcomes. • Apply territory design methodologies across both Sales and Customer Success functions. • Analyse and model data from exported source files and spreadsheets, ensuring robust statistical validation. • Partner with commercial and technical stakeholders to refine methodology and challenge assumptions. • Produce clear documentation that enables client teams and future delivery partners to understand and apply the approach. Your Skills & Experience • Strong experience working with SaaS sales operations, GTM analytics, territory planning, quota setting, or attainment analysis. • Proven capability in data science, statistical modelling, and validating models using real-world business data. • Advanced SQL and Python or R skills for data manipulation, analysis, and modelling. • Excellent Excel and Google Sheets skills, with experience working directly from exported datasets. • Understanding of statistical or machine learning techniques used to connect territory, account, or quota attributes with performance outcomes. • Ability to work effectively with ambiguous requirements and adapt solutions as project needs evolve. • Strong communication skills, including presenting findings and methodology to client stakeholders. • Experience working with Salesforce data structures would be beneficial. • Exposure to agentic, rules-based, or decision-support modelling approaches would be advantageous.