Senior Data Scientist

CloudOne Digital • Atlanta, GA

1d

About The Position

Liquid Web is hiring a 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.

Requirements

• 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 Haves

• 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).

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees