Available Talent · Data Science & AI · Remote US
15+ years turning messy enterprise data into executive decisions. Architect of analytics ecosystems, ML in production, and small high-output teams. Remote-native. Available now.
This candidate is a senior data science leader built for the organizations most companies actually are — mid-to-large enterprises with siloed data, inconsistent reporting, and an executive team whose questions outrun what the current analytical stack can answer. He's spent 15+ years consolidating fragmented data environments, standing up analytics centers of excellence, and translating behavioral and lifecycle signals into customer growth, retention, and pricing outcomes.
At a global enterprise software company that split into two entities and was subsequently acquired, he consolidated fragmented analytical datasets into Snowflake, deployed ML pipeline-forecasting models that doubled accuracy and cut manual reporting from hours to under five minutes, and operationalized a churn prediction model that reduced customer churn from ~20% to 15% during rollout — all while mentoring 8–10 analysts through the non-technical craft of data science.
He is a true player-coach: happiest leading a small team of data scientists while personally owning the hands-on work on new data sources, prototypes, and new methods before production rollout. He mentors on the parts of the job executives actually judge — defining the problem, ensuring results get used, presenting to the C-suite, and measuring impact. Recently separated from a post-acquisition layoff. Remote-first; open to US-wide remote roles. Total compensation target: $200K–$220K.
Built an internal Analytics Center of Excellence at a Fortune 50 technology company and a cross-functional analytics community of practice at a global enterprise software leader — standardizing methodology, peer review, and model governance across distributed US and India teams.
Owned the end-to-end analytical view of customer engagement, product adoption, and ARR health at an enterprise data-protection software leader. Designed and operationalized a churn prediction model that cut customer churn from ~20% to 15% during rollout.
Drove $600M+ in revenue growth at a Fortune 50 technology company by deploying an automated cross-sell engine across global sales teams and thousands of products. Modeled ideal customer profiles to rank high-propensity prospects at scale.
Built a structured, data-driven pricing framework for premium services — partnering with finance, product, and go-to-market leaders to bring transparency and analytical rigor to high-margin monetization decisions.
Deployed ML models for weekly pipeline health that doubled forecast accuracy and collapsed manual reporting from several hours per week to under five minutes. Lifted AR forecasting accuracy 90%+ for a major retail client; delivered 403% ROI on an auto-insurance fraud engagement.
Evaluated and piloted generative AI use cases inside Power BI and adjacent analytics tools — enhancing narrative clarity, insight generation, and dashboard usability for both technical practitioners and executive stakeholders.
Fluent across the modern analytics stack, with a bias toward production-ready solutions:
Strong fit for mid-to-large enterprises with complex, messy, but mature systems that need consolidation and executive-level analytical clarity. Particularly valuable to SaaS and enterprise software businesses building out customer analytics, pricing intelligence, or ARR management. Also open to client-facing consulting delivery roles with a limited number of meaningful engagements per year rather than high-throughput churn.
Global Enterprise Data Software Company (Post-Spinoff & Acquisition) — Senior Manager, Data Analytics & Insights (Dec 2024–Mar 2026)
Global Enterprise Data Protection & Compliance Software Leader — Senior Manager, Customer Data Analytics (Sept 2022–Dec 2024)
Analytics Software Platform Vendor — Solutions Consultant (Nov 2021–Sept 2022)
Consumer Fintech Lender — Senior Data Science Manager (Nov 2020–Nov 2021)
Big Four Professional Services Firm — Senior Data & AI Scientist (May 2017–Sept 2020)
Fortune 50 Global Technology Company — Corporate Marketing — Advanced Analytics Specialist (Sept 2014–May 2017)
Fortune 50 Global Technology Company — Global Business Services — Senior Managing Consultant, Data Science (Nov 2009–Aug 2014)
Education: MSc & BSc in Business Administration & Management Science, Copenhagen Business School
Location: Chicago, IL · Remote-first · Long track record working remotely across every recent role
Target Compensation: $200K–$220K total compensation (base + bonus)
Represented exclusively by RecruitSeed. Introductions available to qualified employers.
Request an Introduction