
Global Leader In Data & AI Recruitment
Harnham stands as the world's premier specialist in Data and Analytics recruitment, connecting exceptional talent with innovative organizations across the US, UK, and EU since 2006. With strategic offices in New York, Phoenix, San Francisco, London, Amsterdam, and Berlin, this privately-owned firm generates $25-$100 million annually while maintaining an unwavering commitment to its core philosophy: People are our business.
Comprehensive Data & AI Talent Solutions
Harnham's deep expertise spans the entire data pipeline-from collection to consumption-across specialized domains including Data Science, Machine Learning, Computer Vision, Marketing & Insight, Digital Analytics, Life Sciences, and Risk Analytics. The firm's sophisticated understanding of emerging technologies like GenAI and LLMs ensures clients and candidates remain at the forefront of industry evolution.
Service Portfolio
- Full-Time Direct Hiring: Early-career professionals through senior management across all data specializations
- Executive Search: Director to C-suite placements for global corporations and ambitious startups
- Contract & Freelance Staffing: Project-based interim talent solutions addressing resource gaps and skill shortages
- Rockborne Graduate Development: Intensive 12-week training program deploying expertly trained data consultants
- Specialized Training Programs: Customized GenAI, LLM, Python, SQL, and Machine Learning courses tailored to team requirements
Culture & Work Environment
Harnham's team remains laser-focused on driving excellence within the tech industry, never settling for being "just another recruitment company." The organization attracts top talent by offering genuine career development-not transactional placements. Whether seeking opportunity, development, status, or culture, professionals find comprehensive support at every career stage.
Why Join Harnham
As a rapidly growing, privately-owned firm, Harnham offers the agility of a startup with the resources of an established market leader. The team's technical depth and industry specialization mean recruiters genuinely understand the complexities of data roles, emerging skill gaps, and market trends. For data professionals seeking meaningful career moves aligned with their aspirations, Harnham provides access to specialized roles across multiple sectors, supported by recruiters who speak their language.
Frequently Asked Questions
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Jobs for Harnham in United States

Staff Data Scientist Sales Analytics
Description
Staff Data Scientist - Sales Analytics
Location: San Francisco (Hybrid)
Salary: $200-250k base + RSUs
This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel.
About the Role
As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth.
Key Responsibilities
- Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections.
- Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates.
- Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives.
- Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects.
- Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions.
- Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting.
- Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations.
About You
- Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments.
- Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning.
- Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions.
- Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy.
- Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams.
- Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

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