Senior Data Scientist

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🕒 February 25

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GoodFit.io

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

☁️ SaaS

🤝 B2B

🔥 Funding within the last year

💰 $13M Series A - GoodFit on 2025-09

SaaS • B2B

GoodFit. io is a configurable data platform for go-to-market (GTM) teams that helps companies map and enrich their target market, prioritize and segment accounts, define personas and discover contacts at scale, and orchestrate engagement across any sales and marketing tools. It provides firmographics, technographics, hiring and funding signals, web crawling and review insights, and lets customers build classification models (including LLM-based labels) to tailor datasets for ABM, SDR-led, programmatic, or hybrid GTM motions. GoodFit positions itself as a B2B SaaS solution focused on improving GTM efficiency and pipeline quality.

📋 Description

• Design and develop ML models (e.g., classification, ranking, scoring) that power customer-facing features • Use SQL and Python (pandas, scikit-learn) to analyse product data and identify opportunities • Rapidly prototype new AI/ML-driven product ideas in collaboration with Product and Design • Define hypotheses, evaluate model performance, and iterate quickly • Collaborate with Engineering to productionise validated models • Improve automation, personalisation, and predictive capabilities within the product • Ensure models are measurable, interpretable, and aligned with user value • Assess and validate internal and external data sources used in ML features • Evaluate signal quality, bias, completeness, and reliability • Define metrics and checks to ensure data is fit for customer-facing use • Move from ambiguous problem → prototype → shipped feature with strong ownership

🎯 Requirements

• 5+ years of professional experience in data science or applied ML • Strong SQL skills and confidence working directly with product data • Strong Python experience for modelling (pandas, scikit-learn) • Solid understanding of statistics and model evaluation techniques • Experience shipping ML-powered features in production • A product-oriented mindset and comfort working cross-functionally • Strong communication skills and the ability to explain complex concepts clearly • Experience working in a startup environment or high-growth company • Bonus • Experience shipping ML features in a B2B SaaS product • Experience with LLM-based systems • Experience with recommendation or ranking systems