Staff Data Scientist - Post Sales jobs in United States
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Harnham ยท 1 day ago

Staff Data Scientist - Post Sales

positionNew York, United States
timeFull-time
remoteHybrid
senioritySenior Level, Lead/Staff
money$200K/yr - $250K/yr
date6+ years exp

Harnham is a fast-growing Series E AI SaaS company redefining how modern engineering teams build and deploy applications. They are seeking a Senior Data Scientist to support post-sales teams by using advanced analytics and predictive modeling to enhance customer success and drive long-term revenue growth.

AnalyticsConsultingInformation TechnologyMarketing
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H1B Sponsor Likelynote

Responsibilities

Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring
Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value
Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion
Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn
Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals
Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams
Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions

Qualification

Predictive modelingSQLPythonRSaaS metrics knowledgeExperimentation designAnalytical rigorBusiness impactCommunication

Required

6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment
Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning
Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring
Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy
Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders
Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives

Company

Harnham

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Harnham has actively chosen to focus on Data and Analytics.
dateFounded in 2006
location
New York, New York, USA
people-size201-500 employees
web-link
https://www.harnham.com/us

H1B Sponsorship

Harnham has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)

Funding

Current Stage
Growth Stage
Total Funding
unknown
Key Investors
BGF Ventures
2022-05-01Seed

Leadership Team

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David Farmer
Chief Executive Officer
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S
Stephen Lawrence
CFO
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Recent News

Harnham
Harnham secures investment from BGF | Harnham US Recruitment post
2025-02-05
BeBeez
Notizie da: Nordic Capital, Bridgepoint Development Capital, PAI Partners, BlackRock, IP Group, MMC, Octopus, Pelican Capital, BGF e altri
2022-05-09
Company data provided by crunchbase