[Remote] Senior Data Scientist

Note: The job is a remote job and is open to candidates in USA. Nexcess is a provider of specialty cloud solutions for businesses worldwide, and they are seeking a Senior Data Scientist to enhance their marketing efforts through data analysis and modeling. This role involves building predictive models, developing marketing attribution approaches, and leading a reporting team to drive strategic decisions based on data insights.

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). You'll be the guardian of the dataLayer, ensuring that what we see in GTM actually reflects reality in Snowflake
• 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

• 5+ years in Data Science or Growth Analytics within a subscription-based business
• Proven track record building LTV, churn, and ICP segmentation models tied to revenue outcomes
• Demonstrated ability to analyze and optimize upsell/cross-sell funnels and product attachment rates
• Advanced SQL and proficiency in Python/R
• Expert-level Power BI (DAX and semantic modeling) and experience with Snowflake (or similar cloud warehouses)
• Familiarity with GTM tags, event schemas, and the flow of web/billing data into a warehouse
• 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)

Benefits

• 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

Company Overview