Note: The job is a remote job and is open to candidates in USA. CloudOne Digital is looking for a Senior Data Scientist to enhance their subscription-driven growth engine. This role involves building models and measurement systems that connect marketing spend to conversion and retention, while collaborating with various departments to optimize data-driven decision-making.
Responsibilities
- 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
- 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
- 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
- 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
- Partner with Marketing Ops to ensure clean event tracking (GTM, dataLayer, UTMs)
- 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
- Help hire and coach a reporting and analytics team
- Establish operating rhythms (WBR/QBR) and set standards for dashboard design, documentation, and storytelling
Skills
- 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
- 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)
Company Overview