Senior Data Scientist

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: 

• BS,in Statistics, Computer Science, Economics, Mathematics, Engineering, Operations Research, or a related quantitative discipline.  MS or PhD HIGHLY Preferred
• 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. 

Preferred Qualifications 

• Experience supporting Product and Operations organizations.  
• Experience with cloud data platforms such as Snowflake, BigQuery, Redshift, or Databricks.  
• Familiarity with dbt or modern analytics engineering practices.  
• Experience with machine learning, forecasting, optimization, or recommendation systems.  
• Experience productionizing machine learning models.  
• Familiarity with Spark and distributed computing.  
• Experience mentoring junior analysts or data scientists. 

Technical Skills 

• SQL  
• Python  
• Statistics  
• Experimental Design  
• A/B Testing  
• Causal Inference  
• Machine Learning  
• Tableau, Power BI, Looker, or similar BI platforms  
• ETL / ELT  
• Data Modeling  
• Dashboard Development  
• Data Visualization  
• Git  
• Cloud Data Platforms (Snowflake, BigQuery, Redshift, Databricks) 

Business Travel < 5%
Base Salary Range: $154k - $195k
This position may also be eligible for short-term and long-term incentives based on individual and company performance.