Senior Data Scientist

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ecoATM Gazelle

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

🛒 Retail

🛍️ eCommerce

🌍 Social Impact

Retail • eCommerce • Social Impact

ecoATM Gazelle is a company specializing in the trade-in and recycling of electronic devices, particularly mobile phones. They operate thousands of kiosks across the United States, allowing consumers to sell their old phones in exchange for cash. By evaluating the device's condition and specifications, ecoATM provides a convenient and eco-friendly solution for reducing electronic waste, contributing to the recycling of over 50 million devices to date. Their mission focuses on sustainability by preventing toxic electronic waste from entering landfills, supporting a healthier planet while providing immediate financial returns to consumers through easy and secure transactions.

📋 Description

• 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. • 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. • 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. • 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.

🎯 Requirements

• BS in Statistics, Computer Science, Economics, Mathematics, Engineering, Operations Research, or a related quantitative discipline. • 6+ years of experience in Data Science, Product Analytics, Business Analytics, or a related analytical role. • Advanced SQL skills with experience querying large, complex datasets. • Strong Python programming skills. • Deep understanding of statistics, hypothesis testing, and experimental design. • Experience building dashboards and reports using modern BI tools (Tableau, Power BI, Looker, Sigma, etc.). • Experience designing and maintaining ETL/ELT workflows. • Strong communication skills with the ability to explain analytical findings to both technical and non-technical audiences. • Demonstrated ability to independently manage ambiguous, cross-functional projects.

🏖️ Benefits

• This position may also be eligible for short-term and long-term incentives based on individual and company performance.