Senior Data Scientist
ecoATMAbout the role
Company Overview (Who are we? Why should you join us?)
At ecoATM the proof of our success is in our staggering growth, extraordinary impact on protecting the planet, and providing a work culture unlike any other. We are a technology company and a pioneer of device re-commerce. Through our 7,000 automated kiosks and online marketplace Gazelle.com, we enable people all over the world to join the mobile device re-use revolution, a revolution that will get billions of used smartphones out of the e-waste cycle and into the hands of people who don’t have affordable access to the empowerment of the latest mobile technology.
At ecoATM we know our employees are our greatest strength and the key to our continued growth and success. When you join our team, you will enjoy more than just a job, you will be empowered to develop and utilize your unique talents and skills to build a rewarding career while making a lasting, positive impact on the planet.
Our Values and Leadership Behaviors
Senior Data Scientist, Product & Business Analytics
We're looking for an experienced Senior Data Scientist to join our growing Data & Analytics team, reporting to the SVP, Data & Analytics. This is a highly cross-functional role that combines advanced analytics, experimentation, business intelligence, and data science to drive better decisions across Product Operations, and the broader business. The ideal candidate enjoys moving fluidly between strategic analyses, building executive dashboards, designing experiments, developing predictive models, and partnering directly with business stakeholders to solve complex problems. You'll work closely with Product Managers, Operations leaders, Engineers, and executives to transform data into actionable insights that improve customer experience, operational efficiency, and business performance. This role is ideal for someone who enjoys both deep analytical work and hands-on execution. This is a Senior level Individual Contributor role and is fully remote anywhere in the USA.
Key Responsibilities:
Business Analytics & Decision Support
- Partner with Product, Operations, Finance, and other business teams to answer high-impact business questions using data.
- Translate ambiguous business problems into structured analytical approaches and actionable recommendations.
- Develop KPIs, metrics, and performance measurement frameworks.
- Present insights and recommendations to senior leadership in a clear, compelling manner.
- Serve as a trusted analytical advisor to cross-functional stakeholders.
Product Analytics & Experimentation
- Design, execute, and analyze A/B tests and other experiments.
- Evaluate product features using statistical techniques and causal inference.
- Identify opportunities to improve customer engagement, conversion, retention, and operational efficiency.
- Build measurement frameworks for new products and initiatives.
Data Science & Predictive Analytics
- Develop predictive models, forecasting solutions, segmentation models, and optimization algorithms where appropriate.
- Apply statistical and machine learning techniques to solve business problems.
- Collaborate with engineering teams to deploy analytical solutions into production when needed.
- Evaluate model performance and communicate trade-offs to business stakeholders.
Business Intelligence & Data Engineering
- Write complex SQL queries against large-scale datasets.
- Design, build, and maintain executive dashboards, reports, and self-service analytics.
- Develop reliable ETL/ELT pipelines that support reporting and analytical workflows.
- Improve data quality, documentation, and metric consistency across the organization.
- Help establish best practices for analytics engineering and reporting.
Qualifications:
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