
Senior Data Scientist
Nexcess · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Own models for subscription growth engine.
- Analyze marketing spend, conversion, retention, LTV.
- Build LTV, churn, and upsell/cross-sell models.
- Develop attribution and measurement strategies.
- Lead reporting team and set data standards.
About the role
About Nexcess
Nexcess provides specialty cloud solutions for organizations where performance and compliance have to coexist. We serve businesses worldwide, from agencies scaling client sites to enterprises running mission-critical operations. We've built our reputation on deep technical expertise and genuine partnership with every client we work with. Behind every environment we manage is a team of people who take the craft seriously and keep showing up when it matters.About The Role
Nexcess is hiring a Senior Data Scientist to power our volumetric, subscription-driven growth engine (hosting, commerce, and software). This role owns the models and measurement systems connecting marketing spend to conversion, retention, and LTV, with a critical emphasis on ICP-specific economics (agencies, SaaS, ecommerce, and mission-critical buyers). You aren’t just a "dashboard builder." You are a Data Anthropologist. You look past the rows in Snowflake to see the human stories—the friction points that cause churn, the "aha" moments that trigger an upgrade from VPS to Dedicated, and the behavioral patterns that separate a hobbyist from a mission-critical enterprise buyer. You’ll build and operationalize LTV and churn models, develop marketing attribution approaches, and partner across Marketing, Product, RevOps, and Finance. You will also help hire and lead a reporting team, setting the standard for metrics, dashboards, and governance in Power BI.This Job Is For You If
- You speak "Finance" and "Creative" fluently. You can explain $LTV$ to a CFO and conversion attribution to a Copywriter without losing the soul of either.
- You are a "Pattern Hunter." You don't just report that churn happened; you find the "Silent Churn" indicators three months before the customer even thinks about canceling.
- You loathe "Vanity Metrics." You find no joy in "Total Page Views." You live for Contribution Margin and Cohort Payback Periods.
- You’re a Power BI Poet. Your DAX is elegant, your star schemas are pristine, and your dashboards tell a story so clear that an executive can understand the "Why" in under ten seconds.
What You’ll Do
- **Subscription Economics & LTV Modeling:** Build predictive LTV models accounting for upgrades, churn, and margin. Develop payback and CAC views to support budget allocation and align with Finance on contribution LTV and time horizons.
- **Expansion Strategy (Upsell & Cross-sell):** Model the triggers and pathways for account expansion. Develop propensity-to-buy models for add-ons (security, storage, backups) and build data-driven upgrade paths (e.g., VPS to Dedicated) to maximize customer wallet share.
- **ICP & Segmentation Modeling:** Define and operationalize ICP segmentation using firmographic, behavioral, and intent signals. Create a decision framework to quantify ICP-specific retention, plan mix, and support costs.
- **Attribution & Measurement:** Design multi-touch attribution (MTA) models calibrated with incrementality methods like geo-tests and holdouts. Improve full-funnel measurement from first touch through activation and retention.
- **Data Foundation & Reliability:** Partner with Marketing Ops to ensure clean event tracking (GTM, dataLayer, UTMs). You'll be the guardian of the dataLayer, ensuring that what we see in GTM actually reflects reality in Snowflake.
- **Power BI Reporting & Governance:** Own executive-ready reporting, including KPI scorecards and cohort views. Maintain semantic models using DAX, ensuring star schema design, query folding, and incremental refreshes for scalability.
- **Team Leadership:** Help hire and coach a reporting and analytics team. Establish operating rhythms (WBR/QBR) and set standards for dashboard design, documentation, and storytelling.
What Success Looks Like (6–12 Months)
- Nexcess utilizes a defensible LTV and payback model for all spend decisions.
- LTV:CAC and payback are reported accurately by both ICP and channel.
- Expansion metrics (upsell/cross-sell velocity and attachment rates) are visible and actionable for Marketing and Sales.
- Power BI serves as the governed, trusted "source of truth" across the organization.
Required Qualifications
- **Experience:** 5+ years in Data Science or Growth Analytics within a subscription-based business.
- **Modeling:** Proven track record building LTV, churn, and ICP segmentation models tied to revenue outcomes.
- **Revenue Growth:** Demonstrated ability to analyze and optimize upsell/cross-sell funnels and product attachment rates.
- **Tech Stack:** Advanced SQL and proficiency in Python/R. Expert-level Power BI (DAX and semantic modeling) and experience with Snowflake (or similar cloud warehouses).
- **Instrumentation:** Familiarity with GTM tags, event schemas, and the flow of web/billing data into a warehouse.
- **Communication:** Strong cross-functional leadership and executive-ready presentation skills.
Nice-to-Have
- Experience in hosting, cloud infrastructure, or developer-led products.
- Pricing and packaging analytics (promo impact, add-on attachment).
- Knowledge of privacy-centric measurement (server-side tagging, modeled conversions).
Working Style
- **Builder Mindset:** Comfortable moving from messy data to reliable, automated systems.
- **The "So What?" Specialist:** You never deliver a chart without an insight. You understand that data without a recommendation is just noise.
- **Pragmatic:** Knows when a calibrated "good enough" measurement beats a complex, fragile model.
- **Collaborative Leader:** Able to influence without authority and level up a team through high standards.
Why Join Us? (optional)
Competitive salary, comprehensive benefits, and growth opportunities across CloudOne Digital’s family of brands.What We Offer
- Comprehensive benefits package
- Traditional and Roth 401(k) with company matching
- A collaborative, team-oriented culture
- Consistent and predictable work hours
- Engaging, varied work that keeps each day different
- Opportunities to contribute ideas and influence how work gets done
Disclaimer
This job description is only a summary of the typical functions of the position. It is not intended to be an exhaustive or comprehensive list of all job responsibilities, tasks, or duties. Additional duties and tasks may be assigned as part of the job function. Nexcess reserves the right to modify, interpret, or apply this job description in a way that best supports the organizational needs. The job description in no way creates or implies an employment contract. The employment contract remains “at will”.Equal Employment Opportunity Policy
Nexcess is committed to offering equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.Key skills/competency
Data Scientist, Growth Analytics, LTV Modeling, Churn Prediction, ICP Segmentation, Marketing Attribution, Power BI, SQL, Python, RSkills & topics
- Data Scientist
- Growth Analytics
- LTV Modeling
- Churn Prediction
- ICP Segmentation
- Marketing Attribution
- Power BI
- SQL
- Python
- R
- Subscription Business
- Cloud Solutions
- Data Analysis
- Business Intelligence
How to get hired
- Tailor your resume: Highlight 5+ years of data science experience in subscription businesses, focusing on LTV, churn, and ICP modeling.
- Showcase technical skills: Emphasize advanced SQL, Python/R proficiency, and expert-level Power BI (DAX, semantic modeling) and Snowflake experience.
- Quantify achievements: Provide examples of how you've analyzed and optimized upsell/cross-sell funnels and influenced revenue growth.
- Demonstrate communication: Prepare to discuss your experience in cross-functional leadership and executive-ready presentations.
- Understand the role: Articulate your 'Data Anthropologist' approach to uncovering insights beyond raw data.
Technical preparation
Master SQL for complex data extraction.,Practice Python/R for LTV and churn models.,Build Power BI dashboards with DAX.,Understand GTM tags and dataLayer flow.
Behavioral questions
Describe a time you identified 'Silent Churn'.,Explain LTV to a CFO and attribution to a copywriter.,How do you balance 'good enough' measurement with perfection?,Share an example of influencing without authority.
Frequently asked questions
- What are the key responsibilities for a Senior Data Scientist at Nexcess?
- As a Senior Data Scientist at Nexcess, you will own the models and measurement systems for subscription-driven growth. This includes building LTV and churn models, developing marketing attribution, defining ICP segmentation, ensuring data reliability, and leading a reporting team using Power BI. The focus is on driving revenue through subscription economics and expansion strategies.
- What technical skills are most important for this Senior Data Scientist role at Nexcess?
- Nexcess seeks candidates with advanced SQL and proficiency in Python/R for modeling. Expert-level Power BI skills, including DAX and semantic modeling, are crucial. Experience with Snowflake or similar cloud data warehouses and familiarity with GTM tags and event schemas are also essential for this Senior Data Scientist position.
- How does Nexcess approach LTV and churn modeling for subscription businesses?
- Nexcess emphasizes building predictive LTV models that account for upgrades, churn, and margin. They also focus on developing payback and CAC views to support budget allocation. For churn, the role involves identifying 'Silent Churn' indicators and developing strategies to improve retention, aligning with finance on LTV and time horizons.
- What is the expected impact of a Senior Data Scientist at Nexcess in the first 6-12 months?
- Within 6-12 months, a Senior Data Scientist at Nexcess is expected to establish a defensible LTV and payback model for spend decisions. They will ensure accurate reporting of LTV:CAC and payback by ICP and channel, make expansion metrics actionable, and position Power BI as the trusted source of truth for the organization.
- Can you elaborate on the 'Data Anthropologist' aspect of this Senior Data Scientist role?
- The 'Data Anthropologist' approach at Nexcess means looking beyond raw data to understand the human stories behind customer behavior. This involves identifying friction points causing churn, understanding 'aha' moments that drive upgrades, and recognizing patterns that differentiate customer segments, ultimately informing strategic business decisions.
- What does Nexcess offer in terms of career growth for a Senior Data Scientist?
- Nexcess offers competitive salary and comprehensive benefits, including a 401(k) with company matching. The role provides opportunities for growth within CloudOne Digital's family of brands. You'll also have the chance to contribute ideas, influence work processes, and potentially lead a reporting and analytics team.